LARS-research / SNAG

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• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆44Updated 3 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
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• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆34Updated 2 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
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• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
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• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
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• LARS-research / PAS
  The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
  ☆23Updated 2 years ago
• aravindsankar28 / Meta-GNN
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  ☆47Updated 3 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
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• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
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• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
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• Kaixiong-Zhou / DGN
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• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
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• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
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• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
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• zwt233 / GAMLP
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• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
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• VITA-Group / Graph-Mixture-of-Experts
  [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…
  ☆29Updated 9 months ago
• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆68Updated 9 months ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 2 years ago
• Graph-COM / SUREL
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• RingBDStack / SUGAR
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  ☆53Updated 3 years ago