Alternatives and similar repositories for WL-Kernel-DGL

Users that are interested in WL-Kernel-DGL are comparing it to the libraries listed below

• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 3 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• CongWeilin / DGCN
  ☆10Updated 3 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• skepsun / SAGN_with_SLE
  ☆37Updated 3 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆41Updated 3 years ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 4 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 10 months ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• lorenzopalloni / wl-graph-kernels
  A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.
  ☆24Updated 5 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated last year
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 4 years ago
• smufang / meta-tail2vec
  Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
  ☆13Updated 4 years ago
• zwt233 / AIR
  ☆4Updated 2 years ago
• HKUST-KnowComp / DummyNode4GraphLearning
  Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
  ☆19Updated 2 years ago
• xguo7 / NEC-DGT
  This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"
  ☆17Updated 5 years ago