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Papers about explainability of GNNs
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PGExplainer Public
Parameterized Explainer for Graph Neural Network
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RWM Public
Local Community Detection in Multiple Netwrks
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PTDNet Public
Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
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SupContrast Public
Forked from HobbitLong/SupContrastPyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
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SimCLR Public
Forked from sthalles/SimCLRPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Jupyter Notebook MIT License UpdatedMar 16, 2021 -
transformers Public
Forked from huggingface/transformers🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Python Apache License 2.0 UpdatedJan 30, 2021 -
ASR Public
Attentive Social Recommendation: Towards User And Item Diversities
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NDCC Public
A Collective Approach to Scholar Name Disambiguation
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DeeperGNN Public
Forked from mengliu1998/DeeperGNNUnOfficial tf implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Python GNU General Public License v3.0 UpdatedJun 16, 2020 -
DMGC Public
Deep Multi-Graph Clustering via Attentive Cross-Graph Association
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GCN_tf2 Public
Implementation of Graph Convolutional Network with TensorFlow 2
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Graph_Neighborhood_1 Public
Forked from CODE-SUBMIT/Graph_Neighborhood_1First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning
Python UpdatedMar 21, 2020 -
DropEdge-tf Public
Forked from DropEdge/DropEdgeDropEdge: Towards Deep Graph Convolutional Networks on Node Classification
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l0.pytorch Public
Forked from moskomule/l0.pytorchan implementation of L0 regularization with PyTorch
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facenet Public
Forked from davidsandberg/facenetFace recognition using Tensorflow
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GraphSAGE Public
Forked from williamleif/GraphSAGERepresentation learning on large graphs using stochastic graph convolutions.
Python Other UpdatedOct 21, 2019 -
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MRWR Public
Implementation of algorithm MRWR in Paper "Local Graph Clustering by Multi-network Random Walk with Restart".