Alternatives and similar repositories for HGCML

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

• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆176Updated last year
• liun-online / HeCo
  The source code of HeCo
  ☆168Updated 3 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆118Updated 3 years ago
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated 6 months ago
• chakib401 / graph_convolutional_clustering
  [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering
  ☆19Updated last year
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆31Updated 2 years ago
• cynricfu / MECCH
  MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
  ☆21Updated last year
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆74Updated last year
• YujieMo / SUGRL
  ☆47Updated 3 years ago
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆17Updated 3 years ago
• ICT-GIMLab / SeHGNN
  ☆117Updated last year
• wenzhilics / GraphSHA
  "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
  ☆31Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆63Updated 2 years ago
• bdy9527 / FAGCN
  ☆97Updated 4 years ago
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆36Updated last year
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 4 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆45Updated 3 years ago
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 10 months ago
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆105Updated 10 months ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆81Updated 4 years ago
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago