Alternatives and similar repositories for SCR

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

• skepsun / SAGN_with_SLE
  ☆37Updated 3 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆34Updated 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
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• pnnl / SLiCE
  Subgraph Based Learning of Contextual Embedding
  ☆29Updated 3 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 5 months ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆59Updated 2 years ago
• zfjsail / wechat-wow-analysis
  Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"
  ☆20Updated 9 months ago
• BUPT-GAMMA / HeCo
  This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".
  ☆27Updated 3 years ago
• zhitao-wang / PLNLP
  Pairwise learning neural link prediction for ogb link prediction
  ☆41Updated 3 years ago
• minghaochen / 2021-MAXP-DGL-GraphML-competition-intermediate-solution-
  ☆13Updated 3 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆92Updated 8 months ago
• tadpole / AutoNE
  The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)
  ☆17Updated last year
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• AndyJZhao / GLEM
  ☆128Updated 2 months ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 3 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 2 years ago
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆77Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆42Updated last year
• AlvinIsonomia / PADEL
  This paper is accpeted by WSDM 2023
  ☆13Updated 2 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated 2 months ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆62Updated 3 years ago
• snap-stanford / csr
  ☆35Updated last year