Alternatives and similar repositories for DeeperGNNS:

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

• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆61Updated 2 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆64Updated last year
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆32Updated 2 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆32Updated 2 years ago
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆50Updated 3 years ago
• zwt233 / NDLS
  Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)
  ☆20Updated 2 years ago
• huangjunjie-cs / SiGAT
  source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
  ☆55Updated last year
• DongHande / PT_propagation_then_training
  The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)
  ☆26Updated 3 years ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆26Updated 3 years ago
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆16Updated 3 years ago
• GemsLab / HeteRobust
  How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
  ☆12Updated 2 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆77Updated 3 years ago
• chennnM / GBP
  PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
  ☆26Updated 4 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 3 weeks ago
• yinyuan1227 / STRAP-git
  ☆15Updated 4 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 3 years ago
• jingweio / LGD-GCN
  [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
  ☆19Updated last year
• lt610 / GraphSaint
  The dgl implementation of GraphSaint
  ☆13Updated 3 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆83Updated 2 years ago
• EdisonLeeeee / GraphData
  A collection of graph data used for semi-supervised node classification.
  ☆38Updated 2 years ago
• mori97 / JKNet-dgl
  A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)
  ☆39Updated 6 years ago
• ryutamatsuno / node-classification-dataset
  data set for node classification task
  ☆14Updated 5 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆148Updated last year
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆39Updated 2 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆159Updated 2 years ago
• caojiangxia / BiGI
  [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization
  ☆75Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆131Updated last year
• Jhy1993 / Datasets-for-Heterogeneous-Graph
  Datasets-for-Heterogeneous-Graph
  ☆127Updated 5 years ago
• bdy9527 / FAGCN
  ☆95Updated 3 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆112Updated 3 years ago