Alternatives and similar repositories for Graph-InfoClust-GIC:

Users that are interested in Graph-InfoClust-GIC are comparing it to the libraries listed below

• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆64Updated last year
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 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
• LeiCaiwsu / LGLP
  ☆26Updated 4 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• divelab / LGLP
  ☆20Updated 4 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• bdy9527 / FAGCN
  ☆95Updated 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
• amin-salehi / GATE
  Graph Attention Auto-Encoders
  ☆75Updated 2 years ago
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆31Updated 2 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆163Updated 3 years ago
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• dongwei156 / n2n
  This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…
  ☆33Updated 2 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• Namkyeong / AFGRL
  The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
  ☆75Updated 3 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 11 months ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆45Updated 4 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆68Updated last year
• SeongJinAhn / VGNAE
  (CIKM'21) Variational Graph Normalized Auto-Encoders
  ☆35Updated 3 years ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆61Updated 5 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• ma-compbio / Hyper-SAGNN
  hypergraph representation learning, graph neural network
  ☆97Updated 11 months ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆137Updated 2 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…
  ☆112Updated 8 months ago
• liangchundong / HGNN-AC
  Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
  ☆35Updated 3 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆43Updated 8 months ago