Alternatives and similar repositories for XGCN_library

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

• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆156Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated 2 years ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆241Updated 3 months ago
• VITA-Group / Large_Scale_GCN_Benchmarking
  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…
  ☆65Updated 2 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• OpenGSL / OpenGSL
  ☆179Updated 9 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆167Updated 2 years ago
• shuaiOKshuai / Tail-GNN
  Tail-GNN: Tail-Node Graph Neural Networks
  ☆35Updated 4 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆68Updated last year
• AndyJZhao / GLEM
  ☆129Updated 7 months ago
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆97Updated 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
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated last year
• ytchx1999 / Dynamic-Graph-Embedding-Methods-Summary
  动态图嵌入方法学习
  ☆14Updated 3 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated 2 years ago
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• CrawlScript / RpHGNN
  Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"
  ☆96Updated last year
• MingChen-Sun / GPPT
  ☆60Updated 3 years ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆62Updated 2 years ago
• zexihuang / random-walk-embedding
  A Broader Picture of Random-walk Based Graph Embedding
  ☆30Updated 4 years ago
• TimeLovercc / CAF-GNN
  [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.
  ☆14Updated 7 months ago
• ICT-GIMLab / SeHGNN
  ☆119Updated 2 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆45Updated 3 years ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆161Updated last year
• Data-Centric-GraphML / awesome-papers
  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
  ☆46Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆105Updated last year