Alternatives and similar repositories for CTSMA-ICML21

Users that are interested in CTSMA-ICML21 are comparing it to the libraries listed below

• cchao0116 / SGMC-AAAI21
  Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"
  ☆11Updated 3 years ago
• YimiAChack / GSKN
  An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
  ☆15Updated 4 years ago
• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• zwt233 / GAMLP
  ☆19Updated 3 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
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• skepsun / SAGN_with_SLE
  ☆38Updated 4 years ago
• DongHande / PT_propagation_then_training
  The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)
  ☆26Updated 4 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• zhumeiqiBUPT / GNN-LF-HF
  WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework
  ☆14Updated 4 years ago
• GemsLab / HeteRobust
  How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
  ☆13Updated 3 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆14Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆102Updated last year
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆92Updated 11 months ago
• liun-online / CoGSL
  Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
  ☆24Updated last year
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago
• zjzijielu / gnn-positional-structural-node-features
  Official repository of "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs", CIKM 2022
  ☆18Updated 3 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆61Updated 2 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆40Updated 3 years ago
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆34Updated 3 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 4 years ago
• lxiaorui / AirGNN
  ☆21Updated 2 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆44Updated 2 years ago
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆20Updated 2 years ago
• jumxglhf / GraphPatcher
  Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
  ☆17Updated last year
• AndyJZhao / Gophormer
  ☆22Updated 2 years ago