Alternatives and similar repositories for PyG-OGB-Tricks

Users that are interested in PyG-OGB-Tricks are comparing it to the libraries listed below

• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• skepsun / SAGN_with_SLE
  ☆38Updated 4 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 9 months ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆83Updated 2 years ago
• Shen-Lab / GraphCL_Automated
  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…
  ☆115Updated last year
• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆77Updated 2 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆81Updated 3 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
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆126Updated last year
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Updated last year
• lxiaorui / AirGNN
  ☆21Updated 3 years ago
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 2 months ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 5 years ago
• skepsun / Adaptive-Graph-Diffusion-Networks
  ☆49Updated 11 months ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆106Updated 5 months ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆37Updated 3 years ago
• vanoracai / MixupForGraph
  Code for paper "Mixup for Node and Graph Classification", WWW 2021
  ☆47Updated 4 years ago
• BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks
  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
  ☆59Updated 4 years ago
• CrawlScript / Awesome-Graph-Contrastive-Learning
  Collection of resources related with Graph Contrastive Learning.
  ☆34Updated 4 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆35Updated 3 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 3 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 5 years ago