Alternatives and similar repositories for HeCo

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

• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆181Updated last year
• ICT-GIMLab / SeHGNN
  ☆125Updated 2 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆121Updated 3 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆68Updated 2 years ago
• bdy9527 / FAGCN
  ☆101Updated 4 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆46Updated 4 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆115Updated 2 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆82Updated 4 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆152Updated 2 years ago
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆108Updated last year
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆32Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆343Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆47Updated 3 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 3 years ago
• AndyJZhao / NSHE
  Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"
  ☆25Updated 5 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆92Updated 4 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…
  ☆116Updated last year
• YujieMo / SUGRL
  ☆46Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆145Updated 3 years ago
• MingChen-Sun / GPPT
  ☆63Updated 3 years ago
• liangchundong / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆35Updated 4 years ago
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 5 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆36Updated 4 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• sheldonresearch / MGCN
  Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020
  ☆30Updated 4 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year