René's URL Explorer Experiment


Title: GitHub - EdisonLeeeee/Graph-Adversarial-Learning: A curated collection of adversarial attack and defense on graph data.

Open Graph Title: GitHub - EdisonLeeeee/Graph-Adversarial-Learning: A curated collection of adversarial attack and defense on graph data.

X Title: GitHub - EdisonLeeeee/Graph-Adversarial-Learning: A curated collection of adversarial attack and defense on graph data.

Description: A curated collection of adversarial attack and defense on graph data. - EdisonLeeeee/Graph-Adversarial-Learning

Open Graph Description: A curated collection of adversarial attack and defense on graph data. - EdisonLeeeee/Graph-Adversarial-Learning

X Description: A curated collection of adversarial attack and defense on graph data. - EdisonLeeeee/Graph-Adversarial-Learning

Opengraph URL: https://github.com/EdisonLeeeee/Graph-Adversarial-Learning

X: @github

direct link

Domain: patch-diff.githubusercontent.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:28244b4e-3f6b-3ad7-2382-c704a44e7bcc
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idA84E:12D09:A07D0F6:D50FE85:698C1172
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visitor-hmacf8888cb1e466725c4df28619bcd7b55d757df0ae2d2dc1e35efc4ab157dca40d
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github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
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apple-itunes-appapp-id=1477376905, app-argument=https://github.com/EdisonLeeeee/Graph-Adversarial-Learning
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twitter:cardsummary_large_image
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og:image:altA curated collection of adversarial attack and defense on graph data. - EdisonLeeeee/Graph-Adversarial-Learning
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og:image:height600
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octolytics-dimension-repository_id198984224
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octolytics-dimension-repository_network_root_id198984224
octolytics-dimension-repository_network_root_nwoEdisonLeeeee/Graph-Adversarial-Learning
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ui-targetcanary-2
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https://camo.githubusercontent.com/01484d02609c212ad5163af9ad53b350782cce484d8c90fefd120216db0b4285/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f6e747269627574696f6e732d57656c636f6d652d323738656135
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⚔🛡 Awesome Graph Adversarial Learninghttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#-awesome-graph-adversarial-learning
👀Quick Lookhttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#quick-look
⚔Attackhttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#attack
2023https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2023
2022https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2022
2021https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2021
2020https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2020
2019https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2019
2018https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2018
2017https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2017
🛡Defensehttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#defense
2023https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2023-1
2022https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2022-1
2021https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2021-1
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2018https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2018-1
2017https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2017-1
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⚖Stabilityhttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#stability
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🔗Resourcehttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#resource
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning/blob/master/imgs/wordcloud.png
Linkhttps://arxiv.org/abs/2003.05730
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#quick-look
By Alphabethttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning/blob/master/Categorized/alphabet.md
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https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#attack
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2023
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝ICLRhttps://openreview.net/forum?id=dSYoPjM5J_W
Codehttps://github.com/likuanppd/STRG
📝AAAIhttps://arxiv.org/abs/2211.10782
Codehttps://github.com/jumxglhf/G2A2C
📝arXivhttps://arxiv.org/abs/2301.01731
Codehttps://anonymous.4open.science/r/ffd4fad9-367f-4a2a-bc65-1a7fe23d9d7f/
📝arXivhttps://arxiv.org/abs/2301.12277
Codehttps://github.com/rahulk207/nicki
📝WWWhttps://arxiv.org/abs/2303.01263
Codehttps://github.com/ventr1c/UGBA
📝arXivhttps://arxiv.org/abs/2302.14353
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2022
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝WSDMhttps://arxiv.org/abs/2106.10785
Codehttps://github.com/TheaperDeng/GNN-Attack-InfMax
📝USENIX Securityhttps://arxiv.org/abs/2110.02631
Codehttps://github.com/Zhangzhk0819/GNN-Embedding-Leaks
📝IEEE Symposium on Security and Privacyhttps://arxiv.org/abs/2112.08331
Codehttps://github.com/xinleihe/GNNStealing
📝WWWhttps://arxiv.org/abs/2201.07986
Codehttps://github.com/RinneSz/CLGA
📝arXivhttps://arxiv.org/abs/2201.06202
Codehttps://github.com/EdisonLeeeee/GraphWar
📝ICLRhttps://openreview.net/forum?id=wkMG8cdvh7-
Codehttps://github.com/LFhase/GIA-HAO
📝AAAIhttps://arxiv.org/abs/2012.06757
Codehttps://github.com/galina0217/stack
📝arXivhttps://arxiv.org/abs/2202.03195
📝arXivhttps://arxiv.org/abs/2202.09389
Codehttps://github.com/jumxglhf/GA2C
📝arXivhttps://arxiv.org/abs/2201.05819
📝arXivhttps://arxiv.org/abs/2202.12993
📝arXivhttps://arxiv.org/abs/2203.00949
📝Asia CCShttps://arxiv.org/abs/2010.12751
Codehttps://github.com/TrustworthyGNN/MEA-GNN
📝CVPRhttps://arxiv.org/abs/2205.03546
Codehttps://github.com/Metaoblivion/Bandit_GNN_Attack
📝RAIDhttps://arxiv.org/abs/2207.00425
Codehttps://github.com/Metaoblivion/Bandit_GNN_Attack
📝arXivhttps://arxiv.org/abs/2206.08260
📝IJIShttps://onlinelibrary.wiley.com/doi/full/10.1002/int.22902
📝ICASSPhttps://ieeexplore.ieee.org/abstract/document/9747850
📝WSDMhttps://dl.acm.org/doi/10.1145/3488560.3498481
📝IJCAIhttps://arxiv.org/abs/2109.13069
Codehttps://github.com/thuwzy/Cluster-Attack
📝arXivhttps://arxiv.org/abs/2207.13766
📝arXivhttps://arxiv.org/abs/2208.01819
📝CIKMhttps://arxiv.org/abs/2208.05514
Codehttps://github.com/Zihan-Liu-00/AtkSE
📝arXivhttps://arxiv.org/abs/2208.01819
📝KDDhttps://dl.acm.org/doi/abs/10.1145/3534678.3539435
📝arXivhttps://arxiv.org/abs/2208.12815
📝ICDMhttps://arxiv.org/abs/2106.09989
Codehttps://github.com/zhuyulin-tony/BinarizedAttack
📝TKDEhttps://arxiv.org/abs/2209.07807
📝arXivhttps://arxiv.org/abs/2209.09688
Codehttps://github.com/GiovanniTRA/SAVAGE
📝ACM TIShttps://dl.acm.org/doi/abs/10.1145/3567420
📝Machine Learninghttps://link.springer.com/article/10.1007/s10994-022-06234-4
📝CSShttps://link.springer.com/chapter/10.1007/978-3-031-18067-5_19
📝ICDMhttps://arxiv.org/abs/2209.05957
Codehttps://github.com/mengcao327/attack-gnn-fairness
📝arXivhttps://arxiv.org/abs/2208.09979
📝arXivhttps://arxiv.org/abs/2208.06776
Codehttps://github.com/Seaocn/Link-Backdoor
📝arXivhttps://arxiv.org/abs/2206.14724
📝arXivhttps://arxiv.org/abs/2206.13104
📝ICDMhttps://dl.acm.org/doi/abs/10.1145/3512527.3531373
📝TKDEhttps://ieeexplore.ieee.org/abstract/document/9806383
📝arXivhttps://arxiv.org/abs/2209.00269
📝Pattern Recognitionhttps://www.sciencedirect.com/science/article/pii/S0031320322005222
📝arXivhttps://arxiv.org/abs/2210.12598
Codehttps://github.com/alexfanjn/GANI
📝arXivhttps://arxiv.org/abs/2210.13710
📝NeurIPShttps://publications.cispa.saarland/3812/1/are_defenses_for_graph_neural_networks_robust.pdf
Codehttps://www.cs.cit.tum.de/daml/are-gnn-defenses-robust/
📝ECCVhttps://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136650223.pdf
📝NeurIPShttps://openreview.net/forum?id=YMrdoXP3x_A
📝NeurIPShttps://openreview.net/forum?id=vkGk2HI8oOP
Codehttps://github.com/Zihan-Liu-00/GraD--NeurIPS22
📝SecureCommhttps://link.springer.com/chapter/10.1007/978-3-031-25538-0_37
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2021
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝USENIX Securityhttps://www.usenix.org/system/files/sec21summer_he.pdf
📝arXivhttps://arxiv.org/abs/2104.03761
📝ACM Hypertexthttps://arxiv.org/abs/2107.11327
Codehttps://github.com/sqrhussain/structack
📝arXivhttps://arxiv.org/abs/2107.03347
📝Information Scienceshttps://arxiv.org/abs/2107.10457
📝KDDhttps://dl.acm.org/doi/abs/10.1145/3447548.3467416
Codehttps://github.com/alge24/ReWatt
📝arXivhttps://arxiv.org/abs/2101.06570
📝USENIX Securityhttps://arxiv.org/abs/2006.11890
📝KDDhttps://dl.acm.org/doi/abs/10.1145/3447548.3467314
Codehttps://github.com/THUDM/tdgia
📝arXivhttps://arxiv.org/abs/2105.12419
📝TKDEhttps://arxiv.org/abs/2009.03488
Codehttps://github.com/EdisonLeeeee/SGAttack
📝arXivhttps://arxiv.org/abs/2104.15061
📝arXivhttps://arxiv.org/abs/2104.11846
📝CVPRhttps://arxiv.org/abs/2104.03356
📝KDD Workshophttps://arxiv.org/abs/2107.02783
Codehttps://github.com/tudelft-cda-lab/SAGE
📝arXivhttps://arxiv.org/abs/2104.09369
Codehttps://github.com/LYZ98/Adversarial-Diffusion-Attacks-on-Graph-based-Traffic-Prediction-Models
📝PAKDDhttps://arxiv.org/abs/2102.07164
Codehttps://github.com/virresh/viking
📝WiseML@WiSechttps://arxiv.org/abs/2104.03674
📝arXivhttps://arxiv.org/abs/2101.06855
Codehttps://github.com/honoluluuuu/GraphAttacker
📝AAAI workshophttps://www.dropbox.com/s/ddrwoswpz3wwx40/Robust_GNNs_at_Scale__AAAI_Workshop_2020_CameraReady.pdf?dl=0
📝arXivhttps://arxiv.org/abs/2102.05429
📝arXivhttps://arxiv.org/abs/2102.06800
📝AAAIhttps://ojs.aaai.org/index.php/AAAI/article/view/17266
📝arXivhttps://arxiv.org/abs/2102.12284
📝Security and Communication Networkshttps://www.hindawi.com/journals/scn/2021/6631247
📝MDATAhttps://link.springer.com/chapter/10.1007%2F978-3-030-71590-8_8
📝arXivhttps://arxiv.org/abs/2103.12256
📝arXivhttps://arxiv.org/abs/2108.03388
📝arXivhttps://papers.nips.cc/paper/2020/file/e586a4f55fb43a540c2e9dab45e00f53-Paper.pdf
Codehttps://github.com/GSNN/GSNN
📝arXivhttps://arxiv.org/abs/2006.13009
Codehttps://github.com/hugochan/IDGL
📝KDD Workshophttps://drive.google.com/file/d/12arm9w6UmvSIzGmaoocdH70czx7RVzGr/view
Codehttps://github.com/gnnattack/SINGLE
📝arXivhttps://arxiv.org/abs/2107.13962
📝ACLhttps://aclanthology.org/2021.acl-long.147
Codehttps://github.com/PeruBhardwaj/InferenceAttack
📝CCShttps://arxiv.org/abs/2108.09513
📝DATE Conferencehttps://arxiv.org/abs/2104.13012
📝CIKMhttps://arxiv.org/abs/2108.13049
Codehttps://github.com/TaoShuchang/G-NIA
📝arXivhttps://arxiv.org/abs/2109.04608
📝PeerJhttps://peerj.com/articles/cs-693
📝CIKMhttps://shiruipan.github.io/publication/cikm-21-zhang/cikm-21-zhang.pdf
📝TKDEhttps://ieeexplore.ieee.org/abstract/document/9531428
📝arXivhttps://arxiv.org/abs/2110.06468
📝ICDMhttps://arxiv.org/abs/2110.08760
Codehttps://github.com/TrustworthyGNN/MIA-GNN
📝arXivhttps://arxiv.org/abs/2110.11024
📝NeurIPShttps://arxiv.org/pdf/2110.14038.pdf
Codehttps://github.com/sigeisler/robustness_of_gnns_at_scale
📝NeurIPShttps://arxiv.org/abs/2110.10942
📝IJCAIhttps://www.ijcai.org/proceedings/2021/458
Codehttps://github.com/chisam0217/Graph-Universal-Attack
📝NeurIPShttps://arxiv.org/abs/2111.02842
Codehttps://github.com/xingchenwan/grabnel
📝EMNLPhttps://arxiv.org/abs/2111.03120
Codehttps://github.com/PeruBhardwaj/AttributionAttack
📝arXivhttps://arxiv.org/abs/2111.15276
📝ICCADhttps://arxiv.org/abs/2111.07062
Codehttps://github.com/lilasrahis/untangle
📝IJCAIhttps://www.ijcai.org/proceedings/2021/516
Codehttps://github.com/zaixizhang/GraphMI
📝CCShttps://dl.acm.org/doi/abs/10.1145/3460120.3485387
📝EMNLPhttps://aclanthology.org/2021.emnlp-main.432
📝ICDShttps://link.springer.com/chapter/10.1007/978-3-030-88942-5_12
📝arXivhttps://arxiv.org/abs/2112.13267
📝ACM TISThttps://dl.acm.org/doi/full/10.1145/3490462
📝arXivhttps://arxiv.org/abs/2208.06651
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2020
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝CIKMhttps://dl.acm.org/doi/abs/10.1145/3340531.3411931
📝arXivhttps://arxiv.org/abs/2009.05602
📝SocialSechttps://link.springer.com/chapter/10.1007/978-981-15-9031-3_7
📝arXivhttps://arxiv.org/abs/2009.10233
📝ICLR OpenReviewhttps://openreview.net/forum?id=W0MKrbVOxtd
📝ICLR OpenReviewhttps://openreview.net/forum?id=sbyjwhxxT8K
📝NeurIPShttps://papers.nips.cc/paper/2020/file/ef126722e64e98d1c33933783e52eafc-Paper.pdf
📝ACSAChttps://cse.sc.edu/~zeng1/papers/2020-acsac-graph.pdf
📝IEEE ISCAShttps://ieeexplore.ieee.org/document/9180817
📝ICLRhttps://arxiv.org/abs/2010.12872
Codehttps://github.com/INK-USC/deceive-KG-models
📝NeurIPShttps://arxiv.org/abs/2006.05057
Codehttps://github.com/Mark12Ding/GNN-Practical-Attack
📝ICDMhttp://shichuan.org/doc/97.pdf
Codehttps://github.com/MengmeiZ/LafAK
📝ICDMhttps://ieeexplore.ieee.org/document/9338329
Codehttps://github.com/EpoAtk/EpoAtk
📝arXivhttps://arxiv.org/abs/2011.14365
Codehttps://github.com/Nanyuu/TUA
📝arXivhttps://arxiv.org/abs/2012.06757
📝arXivhttps://arxiv.org/abs/2009.00163
📝arXivhttps://arxiv.org/abs/2009.00203
📝SACMAThttps://dl.acm.org/doi/pdf/10.1145/3450569.3463560
Codehttps://github.com/zaixizhang/graphbackdoor
📝IEEE Transhttps://ieeexplore.ieee.org/abstract/document/9141291
📝arXivhttps://arxiv.org/abs/2005.11560
📝WWWhttps://arxiv.org/abs/2001.07933
Codehttps://github.com/halimiqi/CD-ATTACK
📝AAMAShttps://arxiv.org/abs/1910.11529
📝AAAIhttps://arxiv.org/abs/1908.01297
Codehttps://github.com/SwiftieH/GFAttack
📝BigDatahttps://arxiv.org/abs/2002.08012
📝WWWhttps://dl.acm.org/doi/10.1145/3366423.3380149
📝IJCAI Workshophttps://www.aisafetyw.org/programme
📝ICML Workshophttps://grlplus.github.io/papers/8.pdf
📝TKDDhttps://dl.acm.org/doi/10.1145/3394520
📝Asia CCShttps://iqua.ece.toronto.edu/papers/wlin-asiaccs20.pdf
📝ECML-PKDDhttps://arxiv.org/abs/2004.13825
Codehttps://github.com/wangjh-github/AFGSM
📝KDDhttps://dl.acm.org/doi/10.1145/3394486.3403194
📝arXivhttps://arxiv.org/abs/2002.11320
📝arXivhttps://arxiv.org/abs/2002.01249
📝arXivhttps://arxiv.org/abs/2003.07010
📝arXivhttps://arxiv.org/abs/2003.08377
Codehttps://github.com/mayee107/network-disruption
📝AIP Chaoshttps://aip.scitation.org/doi/10.1063/5.0003707
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2019
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝arXivhttps://arxiv.org/abs/1906.03750
📝arXivhttps://arxiv.org/abs/1905.11015
📝ICLRhttps://arxiv.org/abs/1808.01664
Codehttps://github.com/KaidiXu/StrAttack
📝arXivhttps://arxiv.org/abs/1905.10864
📝arXivhttps://arxiv.org/abs/1905.01776
📝ICLRhttps://arxiv.org/abs/1806.00088
Codehttps://github.com/tantara/PeerNets-pytorch
📝IEEE Transhttps://ieeexplore.ieee.org/document/8275029
📝arXivhttps://arxiv.org/abs/1910.09741
📝CIKMhttps://dl.acm.org/doi/10.1145/3357384.3357875
📝ICMLhttps://arxiv.org/abs/1809.01093
Codehttps://github.com/abojchevski/node_embedding_attack
📝TCSShttps://arxiv.org/abs/1811.00430
📝IJCAIhttps://arxiv.org/abs/1904.12052
📝ICLRhttps://arxiv.org/abs/1902.08412
Codehttps://github.com/danielzuegner/gnn-meta-attack
📝IJCAIhttps://arxiv.org/abs/1906.04214
Codehttps://github.com/KaidiXu/GCN_ADV_Train
📝IJCAIhttps://arxiv.org/abs/1903.01610
Codehttps://github.com/stellargraph/stellargraph/tree/develop/demos/interpretability
📝NeurIPShttps://arxiv.org/abs/1910.14147
Codehttps://github.com/xuanqing94/AdvSSL
📝CCShttps://arxiv.org/abs/1903.00553
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2018
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝arXivhttps://arxiv.org/abs/1810.10751
📝arXivhttps://arxiv.org/abs/1810.12881
📝arXivhttps://arxiv.org/abs/1809.02797
📝arXivhttps://arxiv.org/abs/1809.00152
📝KDDhttps://arxiv.org/abs/1805.07984
Codehttps://github.com/danielzuegner/nettack
📝Nature Human Behaviorhttps://arxiv.org/abs/1608.00375
📝AAMAShttps://arxiv.org/abs/1809.08368
📝ICMLhttps://arxiv.org/abs/1806.02371
Codehttps://github.com/Hanjun-Dai/graph_adversarial_attack
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2017
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝CCShttps://arxiv.org/abs/1708.09056
📝UAIhttps://arxiv.org/abs/1707.07596
Codehttps://github.com/uclmr/inferbeddings
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#defense
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2023-1
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝NeurIPShttps://openreview.net/forum?id=GPtroppvUM
Codehttps://www.cs.cit.tum.de/daml/adversarial-training/
📝ICLR OpenReviewhttps://arxiv.org/abs/2210.01002
📝ICLRhttps://arxiv.org/abs/2210.03561
Codehttps://github.com/ChandlerBang/GTrans
📝WSDMhttps://arxiv.org/abs/2211.06614
Codehttps://github.com/GhostQ99/RobustTrainingGNN
📝WSDMhttps://arxiv.org/abs/2211.06545
Codehttps://github.com/AndyJZhao/WSDM23-GSR
📝ICLRhttps://openreview.net/forum?id=h1o7Ry9Zctm
Codehttps://www.cs.cit.tum.de/daml/revisiting-robustness/
📝WWWhttps://arxiv.org/abs/2302.08048
📝BigDatahttps://ieeexplore.ieee.org/abstract/document/10021051
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2022-1
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝AAAIhttps://arxiv.org/abs/2012.02486
Codehttps://github.com/galina0217/robustgraph
📝WSDMhttps://arxiv.org/abs/2201.00232
Codehttps://github.com/EnyanDai/RSGNN
📝arXivhttps://arxiv.org/abs/2201.004022
Codehttps://github.com/EnyanDai/RSGNN
📝arXivhttps://arxiv.org/abs/2201.13025
📝arXivhttps://arxiv.org/abs/2201.12741
📝arXivhttps://arxiv.org/abs/2202.04936
Codehttps://github.com/bzho3923/MAGnet
📝AAAIhttp://shichuan.org/doc/132.pdf
📝Neural Processing Lettershttps://link.springer.com/article/10.1007/s11063-022-10750-8
📝AAAIhttps://arxiv.org/abs/2203.03762
Codehttps://github.com/junzhuang-code/GraphSS
📝WWWhttps://arxiv.org/abs/2202.03104
Codehttps://github.com/junxia97/SimGRACE
📝arXivhttps://arxiv.org/abs/2203.11492
📝arXivhttps://arxiv.org/abs/2204.09803
Codehttps://github.com/EdisonLeeeee/GUARD
📝arXivhttps://arxiv.org/abs/2204.10072
📝arXivhttps://arxiv.org/abs/2205.03105
📝arXivhttps://arxiv.org/abs/2205.13892
📝arXivhttps://arxiv.org/abs/2205.14109
Codehttps://github.com/BRGCL-code/BRGCL-code
📝KDDhttps://arxiv.org/abs/2207.00012
Codehttps://github.com/likuanppd/STABLE
📝ICML workshophttps://yuguangwang.github.io/papers/L_p_graph_regularizer_ICML%20TAG%202022.pdf
📝CVPRhttps://openaccess.thecvf.com/content/CVPR2022/html/Ren_Appearance_and_Structure_Aware_Robust_Deep_Visual_Graph_Matching_Attack_CVPR_2022_paper.html
Codehttps://github.com/Thinklab-SJTU/RobustMatch
📝arXivhttps://arxiv.org/abs/2205.14440
📝Mathematicshttps://www.mdpi.com/2227-7390/10/8/1300/html
📝IEEE TNNLShttps://ieeexplore.ieee.org/abstract/document/9775013
📝KDDhttps://arxiv.org/abs/2106.07767
Codehttps://github.com/GemsLab/HeteRobust
📝SPCOMhttps://arxiv.org/abs/2208.01853
Codehttps://github.com/Bharat-Runwal/RWL-GNN
📝arXivhttps://arxiv.org/abs/2208.06956
📝KDDhttps://dl.acm.org/doi/abs/10.1145/3534678.3539436
Codehttps://github.com/GTML-LAB/RT-GCN
📝arXivhttps://arxiv.org/abs/2208.10010
📝CIKMhttps://arxiv.org/abs/2208.09779
Codehttps://github.com/junzhuang-code/LInDT
📝NeurIPShttps://arxiv.org/abs/2209.07754
Codehttps://github.com/zknus/Robustness-of-Graph-Neural-Diffusion
📝IEEE IOThttps://ieeexplore.ieee.org/abstract/document/9814995
📝KBShttps://www.sciencedirect.com/science/article/pii/S0950705122009455
📝arXivhttps://arxiv.org/abs/2209.02902
📝KDDhttps://dl.acm.org/doi/abs/10.1145/3534678.3539332
📝arXivhttps://arxiv.org/abs/2210.13815
📝NeurIPShttps://arxiv.org/abs/2205.13892
Codehttps://github.com/Leirunlin/EvenNet
📝ECML-PKDDhttps://arxiv.org/abs/2211.08068
📝TKDEhttps://arxiv.org/abs/2211.10896
Codehttps://github.com/EdisonLeeeee/SAT
📝TIShttps://dl.acm.org/doi/abs/10.1145/3572834
📝LoGhttps://openreview.net/forum?id=kvwWjYQtmw
Codehttps://github.com/cornell-zhang/GARNET
📝LoGhttps://openreview.net/forum?id=dF6aEW3_62O
Codehttps://github.com/TienjinHuang/UGTs-LoG
📝arXivhttps://arxiv.org/abs/2212.04656
📝arXivhttps://arxiv.org/abs/2210.13815
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2021-1
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝WSDMhttps://arxiv.org/abs/2011.07057
Codehttps://github.com/flyingdoog/PTDNet
📝arXivhttps://arxiv.org/abs/2105.14568
📝arXivhttps://arxiv.org/abs/2105.09384
📝IJCAIhttps://www.ijcai.org/proceedings/2021/310
Codehttps://github.com/EdisonLeeeee/MedianGCN
📝arXivhttps://arxiv.org/abs/2105.10651
Codehttps://github.com/RingBDStack/AGE
📝ICMLhttp://proceedings.mlr.press/v139/ren21c/ren21c.pdf
📝ICASSPhttps://ieeexplore.ieee.org/abstract/document/9414953
📝WWWhttp://eng.auburn.edu/users/yangzhou/papers/RNA.pdf
📝ICMLhttps://arxiv.org/pdf/2009.13504.pdf
Codehttps://github.com/liaopeiyuan/GAL
📝arXivhttps://arxiv.org/abs/2106.07767
📝ECMLhttps://arxiv.org/abs/2107.02658
📝ECMLhttps://arxiv.org/abs/2106.09501
📝ICMLhttp://proceedings.mlr.press/v139/liu21k/liu21k.pdf
Codehttps://github.com/lxiaorui/ElasticGNN
📝arXivhttps://arxiv.org/abs/2107.04086
📝WSDMhttps://arxiv.org/abs/2011.09643
Codehttps://github.com/ChandlerBang/SimP-GCN
📝IEEE TSMChttps://ieeexplore.ieee.org/abstract/document/9415463
📝TKDEhttps://arxiv.org/abs/2106.11865
Codehttps://github.com/ICHproject/NetFense
📝arXivhttps://arxiv.org/abs/2105.04210
📝arXivhttps://arxiv.org/abs/2102.13085
📝ICMLhttp://proceedings.mlr.press/v139/zhao21e.html
📝AAAIhttps://arxiv.org/abs/2009.10235
📝AAAIhttps://arxiv.org/abs/2009.14455
📝AAAIhttps://arxiv.org/abs/1905.10029
Codehttps://www.dropbox.com/sh/p36pzx1ock2iamo/AABEr7FtM5nqwC4i9nICLIsta?dl=0
📝AAAIhttps://www.cs.uic.edu/~elena/pubs/biradar-ppai21.pdf
📝arXivhttps://arxiv.org/abs/2102.09587
📝AAAIhttp://34.94.61.102/paper_AAAI-9475.html
📝arXivhttps://arxiv.org/abs/2103.03414
📝arXivhttps://arxiv.org/abs/2103.14807
📝arXivhttps://arxiv.org/abs/2103.16329
📝arXivhttps://arxiv.org/abs/2103.12256
📝Applied Intelligencehttps://link.springer.com/article/10.1007/s10489-021-02272-y
📝AISTATShttp://proceedings.mlr.press/v130/zhang21i.html
📝arXivhttps://arxiv.org/abs/2107.14747
Codehttps://github.com/BNN-UPC/GNN-NIDS
📝arXivhttps://arxiv.org/abs/2107.01936
📝arXivhttps://arxiv.org/abs/2107.07737
📝arXivhttps://arxiv.org/abs/2108.06504
📝IJCNN https://arxiv.org/abs/2104.13012
📝arXivhttps://arxiv.org/abs/2108.12473
📝arXivhttps://arxiv.org/abs/2109.05558
📝arXivhttps://arxiv.org/abs/2109.08907
📝CIKMhttp://xiangliyao.cn/papers/cikm21-hui.pdf
📝ICICShttps://link.springer.com/chapter/10.1007/978-3-030-88052-1_4
Codehttps://github.com/lizi-learner/MD-GNN
📝arXivhttps://arxiv.org/abs/2109.01785
Codehttps://github.com/ChangminWu/RobustGCN
📝arXivhttps://arxiv.org/abs/2106.07767
📝ICLRhttps://arxiv.org/abs/2110.10582
📝NeurIPShttps://arxiv.org/pdf/2110.14038.pdf
Codehttps://github.com/sigeisler/robustness_of_gnns_at_scale
📝arXivhttps://arxiv.org/abs/2111.05639
📝NeurIPShttps://openreview.net/forum?id=bDdfxLQITtu
Codehttps://github.com/SwiftieH/LFR
📝arXivhttps://arxiv.org/abs/2110.14693
📝arXivhttps://arxiv.org/abs/2112.07575
📝NeurIPShttps://openreview.net/forum?id=hfkER_KJiNw
Codehttps://github.com/lxiaorui/AirGNN
📝ICDMhttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning/blob/master
📝NeurIPShttps://arxiv.org/pdf/2110.14012.pdf
Codehttps://github.com/stadlmax/Graph-Posterior-Network
📝arXivhttps://arxiv.org/abs/2111.10102
📝NeurIPShttps://arxiv.org/abs/2110.15529
Codehttps://github.com/tri-gnn/tri-gnn
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2020-1
💨 Back to Tophttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#table-of-contents
📝ICLR OpenReviewhttps://openreview.net/forum?id=_qoQkWNEhS
📝NeurIPShttps://arxiv.org/abs/2004.07150
📝NeurIPShttps://arxiv.org/abs/1906.01852
Codehttps://github.com/ebonilla/VGCN
📝NeurIPShttps://arxiv.org/abs/2005.11079
Codehttps://github.com/Grand20/grand
📝NeurIPShttps://arxiv.org/abs/2010.15651
Codehttps://github.com/sigeisler/reliable_gnn_via_robust_aggregation
📝ICLR OpenReviewhttps://openreview.net/forum?id=H38f_9b90BO
📝ICLR OpenReviewhttps://openreview.net/forum?id=Q8ZdJahesWe
Codehttps://github.com/liaopeiyuan/GAL
📝SocialSechttps://link.springer.com/chapter/10.1007/978-981-15-9031-3_26
📝NeurIPShttps://arxiv.org/abs/2006.13009
Codehttps://github.com/hugochan/IDGL
📝arXivhttps://arxiv.org/abs/2007.06704
📝NeurIPShttps://arxiv.org/abs/2006.04510
📝CIKMhttps://dl.acm.org/doi/abs/10.1145/3340531.3411983
Codehttps://github.com/LiZhang-github/LA-GCN
📝arXivhttps://arxiv.org/abs/2010.14121
📝NeurIPShttps://arxiv.org/abs/2010.12811
Codehttp://snap.stanford.edu/gib/
📝PPMLPhttps://dl.acm.org/doi/abs/10.1145/3411501.3419424
📝NeurIPShttps://arxiv.org/abs/2010.13902
Codehttps://github.com/Shen-Lab/GraphCL
📝IEEE Transactions on Cyberneticshttps://arxiv.org/abs/1901.01250
📝arXivhttps://arxiv.org/abs/2012.06110
📝AAAIhttps://ojs.aaai.org//index.php/AAAI/article/view/6791
📝IEEE TCSShttps://ieeexplore.ieee.org/abstract/document/9305289?casa_token=fTXIL3hT1yIAAAAA:I4fn-GlF0PIwzPRC87SayRi5_pi2ZDDuSancEsY96A4O4bUBEsp0hSYMNJVGVzMgBWxycYN9qu6D
📝Nonehttps://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning/blob/master/None
Codehttps://github.com/GraphReshape/GraphReshape
📝arXivhttps://arxiv.org/abs/2009.13038
📝arXivhttps://arxiv.org/abs/2009.14738
📝arXivhttps://arxiv.org/abs/2003.07010
📝arXivhttps://arxiv.org/abs/2008.13072
Codehttps://github.com/uJ62JHD/Privacy-Preserving-Social-Network-Embedding
📝IEEE Transhttps://ieeexplore.ieee.org/abstract/document/8605364
📝NeurIPShttps://arxiv.org/abs/2006.08149
Codehttps://github.com/mims-harvard/GNNGuard
📝WSDMhttps://arxiv.org/abs/1908.07558
Codehttps://github.com/tangxianfeng/PA-GNN
📝WSDMhttps://dl.acm.org/doi/abs/10.1145/3336191.3371789
Codehttps://github.com/DSE-MSU/DeepRobust
📝DLGMAhttps://arxiv.org/abs/1912.10206
📝KDDhttps://arxiv.org/abs/2006.06069
Codehttps://github.com/YingtongDou/Nash-Detect
📝KDDhttps://arxiv.org/abs/2005.10203
Codehttps://github.com/DSE-MSU/DeepRobust
📝ICASSPhttps://ieeexplore.ieee.org/abstract/document/9054072
Codehttps://github.com/henrykenlay/spgf
📝WWWhttps://www.cs.au.dk/~karras/robustIC.pdf
Codehttps://github.com/allogn/robustness
📝WWWhttps://arxiv.org/abs/2004.04834
📝ICASSPhttps://arxiv.org/abs/2002.10947
📝ICMLhttps://proceedings.icml.cc/static/paper_files/icml/2020/2611-Paper.pdf
📝ECML-PKDDhttps://www.cs.uic.edu/~zhangx/papers/JinZha20.pdf
📝Preprinthttp://www.auai.org/uai2020/proceedings/119_main_paper.pdf
📝CIKMhttps://arxiv.org/abs/2008.08692
Codehttps://github.com/safe-graph/DGFraud
📝arXivhttps://arxiv.org/abs/2003.05822
📝arXivhttps://arxiv.org/abs/2003.07729
📝arXivhttps://arxiv.org/abs/2006.08900
Codehttps://github.com/zhangao520/defense-vgae
📝arXivhttps://arxiv.org/abs/2004.08833
📝ICDMhttps://ieeexplore.ieee.org/document/9338406
📝ICDMhttps://shenghua-liu.github.io/papers/icdm2020-provablerobust.pdf
📝ECML-PKDDhttps://arxiv.org/abs/1911.07123
Codehttps://github.com/PlusRoss/GRCN
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2019-1
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📝TKDEhttps://arxiv.org/abs/1902.08226
Codehttps://github.com/fulifeng/GraphAT
📝AAAIhttps://arxiv.org/abs/1811.11103
Codehttps://github.com/huawei-noah/BGCN
📝arXivhttps://arxiv.org/abs/1809.05912
📝arXivhttps://arxiv.org/abs/1902.04416
📝arXivhttps://arxiv.org/abs/1912.01487
📝arXivhttps://arxiv.org/abs/1907.06800
Codehttps://github.com/BaoWangMath/DNN-DataDependentActivation
📝arXivhttps://arxiv.org/abs/1905.03679
📝arXivhttps://arxiv.org/abs/1910.09589
📝arXivhttps://arxiv.org/abs/1910.09590
📝arXivhttps://arxiv.org/abs/1903.05994
📝arXivhttps://arxiv.org/abs/1911.04429
📝WWWhttps://arxiv.org/abs/1908.11514
Codehttps://github.com/wonniu/AdvT4NE_WWW2019
📝IJCAIhttps://arxiv.org/abs/1903.01610
Codehttps://github.com/DSE-MSU/DeepRobust
📝MLG@KDDhttp://eliassi.org/papers/benmiller-mlg2019.pdf
📝ICDMhttps://arxiv.org/abs/1909.01432
📝CIKMhttps://dl.acm.org/doi/10.1145/3357384.3357875
📝ICMLhttps://arxiv.org/abs/1902.09192
Codehttps://github.com/thudzj/BVAT
📝LRGSD@ICMLhttps://graphreason.github.io/papers/35.pdf
Codehttps://github.com/cshjin/LATGCN
📝ICLR OpenReviewhttps://arxiv.org/abs/1906.04214
Codehttps://github.com/KaidiXu/GCN_ADV_Train
📝RLGM@ICLRhttps://rlgm.github.io/papers/57.pdf
📝PRCVhttps://arxiv.org/abs/1902.11045
📝KDDhttp://pengcui.thumedialab.com/papers/RGCN.pdf
Codehttps://github.com/thumanlab/nrlweb/blob/master/static/assets/download/RGCN.zip
📝NAACLhttps://arxiv.org/abs/1905.00563
Codehttps://github.com/pouyapez/criage
📝IJCAIhttps://arxiv.org/abs/1906.04214
Codehttps://github.com/KaidiXu/GCN_ADV_Train
📝arXivhttps://arxiv.org/abs/1904.11883
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2018-1
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📝SIGIRhttps://dl.acm.org/citation.cfm?id=3209981
Codehttps://github.com/hexiangnan/adversarial_personalized_ranking
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#2017-1
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📝UAIhttps://arxiv.org/abs/1707.07596
Codehttps://github.com/uclmr/inferbeddings
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#certification
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📝NeurIPS'2023https://openreview.net/forum?id=6IhNHKyuJO
Codehttps://www.cs.cit.tum.de/daml/hierarchical-smoothing
📝NeurIPS'2023https://openreview.net/forum?id=mLe63bAYc7
Codehttps://www.cs.cit.tum.de/daml/equivariance-robustness/
📝ICLR'2023https://openreview.net/forum?id=-k7Lvk0GpBl
📝arXiv'2023https://arxiv.org/abs/2302.08051
📝NeurIPS'2022https://openreview.net/forum?id=t0VbBTw-o8
Codehttps://www.cs.cit.tum.de/daml/interception-smoothing
📝KDD'2021https://dl.acm.org/doi/abs/10.1145/3447548.3467295
Codehttps://github.com/binghuiwang/CertifyGNN
📝ICLR'2021https://openreview.net/forum?id=ULQdiUTHe3y
Codehttps://github.com/jan-schuchardt/collective_robustness
📝WSDM'2021https://arxiv.org/abs/2007.09647
📝ICLR OpenReview'2021https://openreview.net/forum?id=cQyybLUoXxc
📝MSML’2021https://arxiv.org/abs/2104.10837
📝AAAI'2020http://staff.ustc.edu.cn/~hexn/papers/aaai20-adversarial-embedding.pdf
📝NeurIPS'2020https://www.cs.uic.edu/~zhangx/papers/Jinetal20.pdf
Codehttps://github.com/RobustGraph/RoboGraph
📝WWW'2020https://arxiv.org/abs/2002.03421
📝ICML'2020https://proceedings.icml.cc/book/2020/file/4f7b884f2445ef08da9bbc77b028722c-Paper.pdf
Codehttps://github.com/abojchevski/sparse_smoothing
📝ECAI'2020http://ecai2020.eu/papers/31_paper.pdf
📝KDD'2020https://dl.acm.org/doi/10.1145/3394486.3403217
Codehttps://github.com/danielzuegner/robust-gcn-structure
📝GLOBECOM'2020https://arxiv.org/abs/2009.05872
📝KDD'2019https://arxiv.org/abs/1906.12269
Codehttps://www.kdd.in.tum.de/research/robust-gcn/
📝NeurIPS'2019http://papers.nips.cc/paper/9041-certifiable-robustness-to-graph-perturbations
Codehttps://github.com/abojchevski/graph_cert
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#stability
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📝arXiv'2022https://arxiv.org/abs/2205.10070
📝arXiv'2022https://arxiv.org/abs/2202.00645
📝UAI'2021https://arxiv.org/abs/2102.13186
Codehttps://github.com/chirag126/nifty
📝arXiv'2021https://arxiv.org/abs/2110.03576
📝NeurIPS'2021https://arxiv.org/abs/2108.01099
Codehttps://github.com/GentleZhu/Shift-Robust-GNNs
📝arXiv'2021https://arxiv.org/abs/2106.10526
📝arXiv'2020https://arxiv.org/abs/2008.01767
📝arXiv'2020https://arxiv.org/abs/2010.13747
📝ICASSP'2020https://ieeexplore.ieee.org/document/9054341
📝arXiv'2020https://arxiv.org/abs/2008.01767
📝arXiv'2020https://arxiv.org/abs/2010.11797
📝IJCAI Workshop'2019https://www.ijcai.org/Proceedings/2020/181
Codehttps://github.com/raspberryice/ala-gcn
📝arXiv'2019https://arxiv.org/abs/1905.04497
📝KDD'2019https://arxiv.org/abs/1905.01004
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#others
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📝arXiv‘2023https://arxiv.org/abs/2302.13875
Codehttps://github.com/yandex-research/structural-graph-shifts
📝arXiv'2022https://arxiv.org/abs/2206.05070
📝LoG‘2022https://openreview.net/forum?id=oxjVVBNrG-
Codehttps://github.com/aida-ugent/EvalNE-robustness
📝UAI'2021https://arxiv.org/abs/2105.14644
📝USENIX'2021https://www.usenix.org/system/files/sec21summer_han-xueyuan.pdf
📝arXiv'2020https://arxiv.org/abs/2010.09891
Codehttps://github.com/devnkong/FLAG
📝arXiv'2020https://arxiv.org/abs/2004.08833
📝arXiv'2020https://arxiv.org/abs/2011.00512
📝CentraleSupélec'2020https://github.com/SJTUzhou/Lipschitz_gnn/blob/main/GNN_Robust_report.pdf
Codehttps://github.com/SJTUzhou/Lipschitz_gnn
📝arXiv'2021https://arxiv.org/abs/2110.14855
📝ICML'2020https://arxiv.org/abs/2006.09136
📝cs224w'2019http://snap.stanford.edu/class/cs224w-2019/project/26424139.pdf
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#survey
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📝TKDE'2022https://arxiv.org/abs/2105.00419
📝arXiv'2022https://arxiv.org/abs/2204.08570
📝arXiv'2022https://arxiv.org/abs/2205.07424
📝arXiv'2022https://arxiv.org/abs/2205.10014
📝AAAI DLG'2022https://arxiv.org/abs/2112.06070
📝arXiv'2021https://arxiv.org/abs/2103.03036
📝AI Open'2021https://arxiv.org/abs/1812.04202
📝arXiv'2021https://arxiv.org/abs/2108.10733
📝SIGKDD Explorations'2021https://arxiv.org/abs/2003.00653
📝arXiv'2020https://arxiv.org/abs/2003.05730
📝arXiv'2020https://arxiv.org/abs/2012.08752
📝arXiv'2022https://arxiv.org/abs/2202.07114
📝arXiv'2019https://arxiv.org/abs/1909.08072
📝arXiv'2018https://arxiv.org/abs/1812.04202
📝arXiv'2018https://arxiv.org/abs/1812.10528
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#toolbox
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📝AAAI’2021https://ojs.aaai.org/index.php/AAAI/article/view/18017
DeepRobusthttps://github.com/DSE-MSU/DeepRobust
📝arXiv’2022https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning/blob/master
GreatXhttps://github.com/EdisonLeeeee/GreatX
📝arXiv‘2021https://arxiv.org/abs/2006.05648
TIGERhttps://github.com/safreita1/TIGER
📝NeurIPS'2021https://openreview.net/forum?id=pBwQ82pYha
Graph Robustness Benchmark (GRB)https://github.com/thudm/grb
https://patch-diff.githubusercontent.com/EdisonLeeeee/Graph-Adversarial-Learning#resource
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Linkhttps://github.com/EdisonLeeeee/RS-Adversarial-Learning
Linkhttps://github.com/ChandlerBang/awesome-graph-attack-papers
Linkhttps://github.com/safe-graph/graph-adversarial-learning-literature
🌐Linkhttps://nicholas.carlini.com/writing/2019/all-adversarial-example-papers.html
🌐Linkhttps://sites.google.com/view/kdd-2020-attack-and-defense
🌐Linkhttps://ai.tencent.com/ailab/ml/twgl/
📝Linkhttps://arxiv.org/abs/2210.00122
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