Alternatives and similar repositories for graph-deep-learning

Users that are interested in graph-deep-learning are comparing it to the libraries listed below

• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆69Updated 2 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• HKUST-KnowComp / DummyNode4GraphLearning
  Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
  ☆19Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆58Updated 4 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 4 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆67Updated 3 years ago
• CrawlScript / Awesome-Graph-Contrastive-Learning
  Collection of resources related with Graph Contrastive Learning.
  ☆34Updated 4 years ago
• linmengsysu / IsoNN
  ☆9Updated last year
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆29Updated 2 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated 11 months ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• GSNN / GSNN
  ☆18Updated 4 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 3 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆88Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆54Updated 2 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆83Updated 2 years ago
• uestc-lese / SPGRL
  ☆17Updated 2 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆16Updated 3 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 3 years ago
• seongjunyun / Neo-GNNs
  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
  ☆38Updated 3 years ago