Alternatives and similar repositories for GraphSaint

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

• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated last year
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆62Updated 3 years ago
• Gkunnan97 / FastGCN_pytorch
  an implementation of FastGCN with pytorch
  ☆51Updated 4 years ago
• ICT-GIMLab / SeHGNN
  ☆114Updated last year
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆31Updated 2 years 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
• jianhao2016 / GPRGNN
  ☆135Updated last year
• EdisonLeeeee / GraphData
  A collection of graph data used for semi-supervised node classification.
  ☆40Updated 2 years ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆72Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 2 years ago
• lt610 / DeeperGNNS
  DGL implementation of some deep GNNs
  ☆10Updated 4 years ago
• bdy9527 / FAGCN
  ☆97Updated 4 years ago
• skepsun / Adaptive-Graph-Diffusion-Networks
  ☆49Updated 6 months ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆125Updated last year
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆136Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 5 months ago
• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆46Updated 3 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆51Updated last year
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆80Updated 4 years ago
• mori97 / JKNet-dgl
  A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)
  ☆38Updated 6 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• GemsLab / CPGNN
  ☆29Updated 3 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆103Updated last week
• ahxt / g-mixup
  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
  ☆105Updated last year
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆171Updated last year
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆21Updated 3 years ago