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Title: GitHub - Graph-COM/GSAT: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Open Graph Title: GitHub - Graph-COM/GSAT: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

X Title: GitHub - Graph-COM/GSAT: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Description: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning. - Graph-COM/GSAT

Open Graph Description: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning. - Graph-COM/GSAT

X Description: [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning. - Graph-COM/GSAT

Opengraph URL: https://github.com/Graph-COM/GSAT

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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og:image:alt	[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning. - Graph-COM/GSAT
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GSAT	https://patch-diff.githubusercontent.com/Graph-COM/GSAT
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arxiv.org/abs/2201.12987	https://arxiv.org/abs/2201.12987
MIT license	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/LICENSE
174 stars	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/stargazers
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example	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/tree/main/example
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LICENSE	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/LICENSE
LICENSE	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/LICENSE
README.md	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/README.md
README.md	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/README.md
requirements.txt	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/requirements.txt
requirements.txt	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/blob/main/requirements.txt
README	https://patch-diff.githubusercontent.com/Graph-COM/GSAT
MIT license	https://patch-diff.githubusercontent.com/Graph-COM/GSAT
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#graph-stochastic-attention-gsat
	https://arxiv.org/abs/2201.12987
	https://github.com/Graph-COM/GSAT
	https://proceedings.mlr.press/v162/miao22a.html
	https://colab.research.google.com/drive/1t0_4BxEJ0XncyYvn_VyEQhxwNMvtSUNx?usp=sharing
English	https://towardsdatascience.com/graph-machine-learning-icml-2022-252f39865c70#be75:~:text=and%20inductive%20settings.-,%E2%9E%A1%EF%B8%8F%20Miao%20et%20al,-take%20another%20perspective
中文	https://mp.weixin.qq.com/s/aP-XBqFLV0x8h9rtOKU_yg
Slides	https://icml.cc/media/icml-2022/Slides/17430.pdf
Poster	https://icml.cc/media/PosterPDFs/ICML%202022/a8acc28734d4fe90ea24353d901ae678.png
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism	https://arxiv.org/abs/2201.12987
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GOOD	https://github.com/divelab/GOOD
here	https://good.readthedocs.io/en/latest/leaderboard.html
Learnable Randomness Injection (LRI)	https://openreview.net/forum?id=6u7mf9s2A9
here	https://github.com/Graph-COM/LRI
issue	https://github.com/Graph-COM/GSAT/issues/5
PR	https://github.com/Graph-COM/GSAT/pull/8
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#introduction
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	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#rationale-of-gsat
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	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#installation
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#run-examples
	https://colab.research.google.com/drive/1t0_4BxEJ0XncyYvn_VyEQhxwNMvtSUNx?usp=sharing
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#reproduce-results
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	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#hyperparameter-settings
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#instructions-on-acquiring-datasets
PGExplainer	https://arxiv.org/abs/2011.04573
DIG	https://github.com/divelab/DIG
DIR	https://openreview.net/forum?id=hGXij5rfiHw
OGBG	https://ogb.stanford.edu/
here	https://github.com/flyingdoog/PGExplainer/tree/master/dataset
PGExplainer	https://arxiv.org/abs/2011.04573
here	https://drive.google.com/drive/folders/1dt0aGMBvCEUYzaG00TYu1D03GPO7305z
DIG	https://github.com/divelab/DIG
here	https://github.com/bknyaz/graph_attention_pool/blob/master/scripts/mnist_75sp.sh
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#faq
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	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#how-to-sample-g_s
	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#reference
arxiv.org/abs/2201.12987	https://arxiv.org/abs/2201.12987
deep-learning	https://patch-diff.githubusercontent.com/topics/deep-learning
pytorch	https://patch-diff.githubusercontent.com/topics/pytorch
interpretability	https://patch-diff.githubusercontent.com/topics/interpretability
xai	https://patch-diff.githubusercontent.com/topics/xai
graph-neural-networks	https://patch-diff.githubusercontent.com/topics/graph-neural-networks
interpretable-machine-learning	https://patch-diff.githubusercontent.com/topics/interpretable-machine-learning
Readme	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#readme-ov-file
MIT license	https://patch-diff.githubusercontent.com/Graph-COM/GSAT#MIT-1-ov-file
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Jupyter Notebook 87.4%	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/search?l=jupyter-notebook
Python 12.6%	https://patch-diff.githubusercontent.com/Graph-COM/GSAT/search?l=python
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Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
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