Alternatives and similar repositories for GC-SEE

Users that are interested in GC-SEE are comparing it to the libraries listed below

• chakib401 / graph_convolutional_clustering
  [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering
  ☆19Updated last year
• googlebaba / WWW2020-O2MAC
  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
  ☆88Updated 2 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆143Updated 2 years ago
• Marigoldwu / PyDGC
  A Unified Library for Deep Graph Clustering
  ☆115Updated last month
• XinPeng97 / TNNLS_DCLN
  Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"
  ☆12Updated last year
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆81Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• IMKBLE / MAGCN
  ☆39Updated 4 years ago
• Panern / MCGC
  ☆53Updated 2 years ago
• hyzhang98 / EGAE
  [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering
  ☆25Updated 3 years ago
• huogy / CaEGCN
  ☆18Updated 4 years ago
• cgao-comp / DGCN
  The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…
  ☆19Updated 3 years ago
• mmg63 / Hypergraph-Convolution-and-Attention-networks
  Hypergraph convolution and attention networks research
  ☆14Updated last year
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆65Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated last year
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆36Updated last year
• Zehong-Wang / HGCML
  Heterogeneous Graph Contrastive Multi-view Learning, SDM 23
  ☆23Updated 2 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆176Updated last year
• yueliu1999 / SCGC
  [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
  ☆37Updated 6 months ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• BUPT-GAMMA / GCIL
  Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
  ☆28Updated last year
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆63Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago
• yusonghust / MT-MVGCN
  source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"
  ☆20Updated 4 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆23Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆85Updated 10 months ago
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆63Updated 2 years ago
• mpanpan / SimGRACE
  [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆18Updated 3 years ago
• ZhihaoPENG-CityU / MM21---AGCN
  The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
  ☆35Updated last year