Alternatives and similar repositories for AM-GCN:

Users that are interested in AM-GCN are comparing it to the libraries listed below

• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆64Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆54Updated 3 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆59Updated 2 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 3 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 2 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆31Updated 3 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 7 months ago
• mpanpan / SimGRACE
  [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆16Updated 2 years ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆19Updated 4 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆133Updated 2 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆54Updated 2 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆23Updated 2 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆79Updated 2 years ago
• Zehong-Wang / HGCML
  This repo is for source code of SDM 2023 paper "Heterogeneous Graph Contrastive Multi-view Learning".
  ☆20Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆37Updated last year
• Namkyeong / AFGRL
  The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
  ☆74Updated 2 years ago
• xuehansheng / DualHGCN
  [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
  ☆42Updated 3 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• datake / AdaGCN
  Official Implementation of AdaGCN (ICLR 2021)
  ☆60Updated 3 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆51Updated last year
• liangchundong / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆35Updated 3 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆82Updated 2 months ago
• ZhihaoPENG-CityU / MM21---AGCN
  The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
  ☆32Updated 5 months ago
• bdy9527 / FAGCN
  ☆95Updated 3 years ago
• sheldonresearch / HWNN
  Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021
  ☆25Updated 4 years ago
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆33Updated 6 months ago
• LeiCaiwsu / LGLP
  ☆27Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago