Alternatives and similar repositories for Large_Scale_GCN_Benchmarking

Users that are interested in Large_Scale_GCN_Benchmarking are comparing it to the libraries listed below

• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆77Updated 2 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Updated last year
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 4 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆116Updated 4 years ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆74Updated 2 years ago
• AndyJZhao / Gophormer
  ☆22Updated 2 years ago
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 2 months ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆81Updated 3 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆83Updated 2 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 9 months ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 3 years ago
• jumxglhf / ParetoGNN
  Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization
  ☆39Updated 2 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 4 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago
• CurryTang / Towards-graph-foundation-models
  ☆91Updated 2 years ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆102Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆125Updated 3 years ago
• ChandlerBang / GCond
  [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆141Updated last month
• AndyJZhao / GLEM
  ☆130Updated 7 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆45Updated 3 years ago
• Graph-COM / StruRW
  [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)
  ☆21Updated 2 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆103Updated 2 years ago
• snap-research / non-contrastive-link-prediction
  [ICLR 2023] Link Prediction with Non-Contrastive Learning
  ☆26Updated 2 years ago
• skepsun / SAGN_with_SLE
  ☆38Updated 4 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆56Updated 2 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆62Updated 2 years ago
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆20Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆138Updated 2 years ago