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Title: GitHub - iMoonLab/DeepHypergraph: A pytorch library for graph and hypergraph computation. · GitHub

Open Graph Title: GitHub - iMoonLab/DeepHypergraph: A pytorch library for graph and hypergraph computation.

X Title: GitHub - iMoonLab/DeepHypergraph: A pytorch library for graph and hypergraph computation.

Description: A pytorch library for graph and hypergraph computation. - iMoonLab/DeepHypergraph

Open Graph Description: A pytorch library for graph and hypergraph computation. - iMoonLab/DeepHypergraph

X Description: A pytorch library for graph and hypergraph computation. - iMoonLab/DeepHypergraph

Mail addresses
evanfeng97@gmail.com

Opengraph URL: https://github.com/iMoonLab/DeepHypergraph

X: @github

direct link

Domain: github.com

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https://github.com/iMoonLab/DeepHypergraph/blob/main/LICENSE
Websitehttps://deephypergraph.com/
Documentationhttps://deephypergraph.readthedocs.io/
Tutorialshttps://deephypergraph.readthedocs.io/en/latest/tutorial/overview.html
中文文档https://deephypergraph.readthedocs.io/en/latest/zh/overview.html
Official Exampleshttps://deephypergraph.readthedocs.io/en/latest/examples/vertex_cls/index.html
Discussionshttps://github.com/iMoonLab/DeepHypergraph/discussions
https://github.com/iMoonLab/DeepHypergraph#news
PyTorchhttps://pytorch.org
dhg.experimentshttps://deephypergraph.readthedocs.io/en/latest/api/experiments.html
Optunahttps://optuna.org
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Hightlightshttps://github.com/iMoonLab/DeepHypergraph#highlights
Installationhttps://github.com/iMoonLab/DeepHypergraph#installation
Dependencieshttps://github.com/iMoonLab/DeepHypergraph#dependencies
Quick Starthttps://github.com/iMoonLab/DeepHypergraph#quick-start
Exampleshttps://github.com/iMoonLab/DeepHypergraph#examples
Datasetshttps://github.com/iMoonLab/DeepHypergraph#datasets
Metricshttps://github.com/iMoonLab/DeepHypergraph#metrics
Implemented Modelshttps://github.com/iMoonLab/DeepHypergraph#implemented-models
https://github.com/iMoonLab/DeepHypergraph#highlights
https://github.com/iMoonLab/DeepHypergraph#installation
GitHub Issueshttps://github.com/iMoonLab/DeepHypergraph/issues
https://github.com/iMoonLab/DeepHypergraph#dependencies
https://github.com/iMoonLab/DeepHypergraph#quick-start
https://github.com/iMoonLab/DeepHypergraph#visualization
Tutorialhttps://deephypergraph.readthedocs.io/en/latest/tutorial/vis_structure.html
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https://github.com/iMoonLab/DeepHypergraph#learning-on-low-order-structures
https://github.com/iMoonLab/DeepHypergraph#learning-on-high-order-structures
https://github.com/iMoonLab/DeepHypergraph#examples
https://github.com/iMoonLab/DeepHypergraph#building-the-convolution-layer-of-gcn
https://github.com/iMoonLab/DeepHypergraph#building-the-convolution-layer-of-gat
https://github.com/iMoonLab/DeepHypergraph#building-the-convolution-layer-of-hgnn
https://github.com/iMoonLab/DeepHypergraph#building-the-convolution-layer-of-hgnn-
https://github.com/iMoonLab/DeepHypergraph#datasets
Corahttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Cora.html#dhg.data.Cora
PubMedhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Pubmed.html#dhg.data.Pubmed
Citeseerhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Citeseer.html#dhg.data.Citeseer
BlogCataloghttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.BlogCatalog.html#dhg.data.BlogCatalog
Flickrhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Flickr.html#dhg.data.Flickr
Githubhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Github.html#dhg.data.Github
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AmazonBookhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.AmazonBook.html#dhg.data.AmazonBook
Yelp2018https://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Yelp2018.html#dhg.data.Yelp2018
Gowallahttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Gowalla.html#dhg.data.Gowalla
TecentBiGraphhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.TencentBiGraph.html#dhg.data.TencentBiGraph
CoraBiGraphhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CoraBiGraph.html#dhg.data.CoraBiGraph
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CiteseerBiGraphhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CiteseerBiGraph.html#dhg.data.CiteseerBiGraph
Cooking200https://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Cooking200.html#dhg.data.Cooking200
CoauthorshipCorahttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CoauthorshipCora.html#dhg.data.CoauthorshipCora
CoauthorshipDBLPhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CoauthorshipDBLP.html#dhg.data.CoauthorshipDBLP
CocitationCorahttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CocitationCora.html#dhg.data.CocitationCora
CocitationPubmedhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CocitationCiteseer.html#dhg.data.CocitationCiteseer
CocitationCiteseerhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.CocitationPubmed.html#dhg.data.CocitationPubmed
YelpRestauranthttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.YelpRestaurant.html#dhg.data.YelpRestaurant
WalmartTripshttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.WalmartTrips.html#dhg.data.WalmartTrips
HouseCommitteeshttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.HouseCommittees.html#dhg.data.HouseCommittees
News20https://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.News20.html#dhg.data.News20
DBLP8khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.DBLP8k.html#dhg.data.DBLP8k
DBLP4khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.DBLP4k.html#dhg.data.DBLP4k
IMDB4khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.IMDB4k.html#dhg.data.IMDB4k
Recipe100khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Recipe100k.html#dhg.data.Recipe100k
Recipe200khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Recipe200k.html#dhg.data.Recipe200k
Yelp3khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Yelp3k.html#dhg.data.Yelp3k
Tencent2khttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.data.Tencent2k.html#dhg.data.Tencent2k
https://github.com/iMoonLab/DeepHypergraph#metrics
https://github.com/iMoonLab/DeepHypergraph#classification-metrics
Accuracyhttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.classification.accuracy
F1-Scorehttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.classification.f1_score
Confusion Matrixhttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.classification.confusion_matrix
https://github.com/iMoonLab/DeepHypergraph#recommender-metrics
Precision@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.recommender.precision
Recall@khttps://deephypergraph.readthedocs.io/en/latest/_modules/dhg/metrics/recommender.html#recall
NDCG@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.recommender.ndcg
https://github.com/iMoonLab/DeepHypergraph#retrieval-metrics
Precision@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.precision
Recall@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.recall
mAP@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.map
NDCG@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.ndcg
mRR@khttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.mrr
PR-Curvehttps://deephypergraph.readthedocs.io/en/latest/api/metrics.html#dhg.metrics.retrieval.pr_curve
https://github.com/iMoonLab/DeepHypergraph#implemented-models
https://github.com/iMoonLab/DeepHypergraph#on-low-order-structures
GCNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.GCN.html#dhg.models.GCN
Semi-Supervised Classification with Graph Convolutional Networkshttps://arxiv.org/pdf/1609.02907
GraphSAGEhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.GraphSAGE.html#dhg.models.GraphSAGE
Inductive Representation Learning on Large Graphshttps://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf
GAThttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.GAT.html#dhg.models.GAT
Graph Attention Networkshttps://arxiv.org/pdf/1710.10903
GINhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.GIN.html#dhg.models.GIN
How Powerful are Graph Neural Networks?https://arxiv.org/pdf/1810.00826
NGCFhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.NGCF.html#dhg.models.NGCF
Neural Graph Collaborative Filteringhttps://arxiv.org/pdf/1905.08108
LightGCNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.LightGCN.html#dhg.models.LightGCN
LightGCN: Lightweight Graph Convolutional Networkshttps://arxiv.org/pdf/2002.02126
BGNN-Advhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.BGNN_Adv.html#dhg.models.BGNN_Adv
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphshttps://arxiv.org/pdf/1906.11994.pdf
BGNN-MLPhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.BGNN_MLP.html#dhg.models.BGNN_MLP
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphshttps://arxiv.org/pdf/1906.11994.pdf
https://github.com/iMoonLab/DeepHypergraph#on-high-order-structures
HGNNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.HGNN.html#dhg.models.HGNN
Hypergraph Neural Networkshttps://arxiv.org/pdf/1809.09401
HGNN+https://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.HGNNP.html#dhg.models.HGNNP
HGNN+: General Hypergraph Neural Networkshttps://ieeexplore.ieee.org/document/9795251
HyperGCNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.HyperGCN.html#dhg.models.HyperGCN
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphshttps://papers.nips.cc/paper/2019/file/1efa39bcaec6f3900149160693694536-Paper.pdf
DHCFhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.DHCF.html#dhg.models.DHCF
Dual Channel Hypergraph Collaborative Filteringhttps://dl.acm.org/doi/10.1145/3394486.3403253
HNHNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.HNHN.html#dhg.models.HNHN
HNHN: Hypergraph Networks with Hyperedge Neuronshttps://arxiv.org/pdf/2006.12278.pdf
UniGCNhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.UniGCN.html#dhg.models.UniGCN
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networkshttps://arxiv.org/pdf/2105.00956.pdf
UniGAThttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.UniGAT.html#dhg.models.UniGAT
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networkshttps://arxiv.org/pdf/2105.00956.pdf
UniSAGEhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.UniSAGE.html#dhg.models.UniSAGE
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networkshttps://arxiv.org/pdf/2105.00956.pdf
UniGINhttps://deephypergraph.readthedocs.io/en/latest/generated/dhg.models.UniGIN.html#dhg.models.UniGIN
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networkshttps://arxiv.org/pdf/2105.00956.pdf
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