Alternatives and similar repositories for SAGN_with_SLE:

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

• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 2 months ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆37Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆71Updated 4 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 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
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆61Updated 2 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆41Updated 3 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 3 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆81Updated last year
• CongWeilin / DGCN
  ☆10Updated 3 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆21Updated 3 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• snap-research / non-contrastive-link-prediction
  [ICLR 2023] Link Prediction with Non-Contrastive Learning
  ☆26Updated 2 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated this week
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 2 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆41Updated 2 years ago
• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
  ☆20Updated 2 years ago
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆33Updated 3 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated 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"
  ☆86Updated 3 years ago
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• chennnM / GBP
  PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
  ☆26Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• GemsLab / CPGNN
  ☆29Updated 3 years ago