Alternatives and similar repositories for GNN-LMC

Users that are interested in GNN-LMC are comparing it to the libraries listed below

• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆58Updated 2 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆121Updated 2 years ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆211Updated 11 months ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆124Updated 3 years ago
• AndyJZhao / Gophormer
  ☆22Updated 3 years ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆314Updated last year
• JHL-HUST / LMSPS
  Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks
  ☆17Updated last year
• Juanhui28 / HeaRT
  ☆59Updated last year
• AndyJZhao / GLEM
  ☆131Updated 8 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆87Updated last year
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆47Updated last year
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆168Updated 2 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 11 months ago
• ICT-GIMLab / SeHGNN
  ☆123Updated 2 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆22Updated 3 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆104Updated 2 years ago
• MingChen-Sun / GPPT
  ☆61Updated 3 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆239Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆107Updated last year
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆157Updated last year
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆299Updated last year
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆38Updated 2 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆78Updated 3 years ago