Alternatives and similar repositories for fastgae_pytorch:

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

• AlexDuvalinho / HoscPool
  Higher-order clustering and pooling for GNNs
  ☆8Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆18Updated last year
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• bijayaVT / sub2vec
  ☆12Updated 5 years ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated last year
• DavideBuffelli / SAME
  Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…
  ☆18Updated 2 years ago
• wyl7 / ClusterSCL
  The pytorch implementation of ClusterSCL (WWW2022).
  ☆15Updated last year
• shuix007 / HMGNN
  Heterogeneous Molecular Graph Neural Network
  ☆28Updated 4 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆69Updated last year
• LeiCaiwsu / LGLP
  ☆26Updated 4 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆55Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆32Updated 3 years ago
• yunshengb / UGraphEmb
  ☆47Updated 5 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…
  ☆110Updated 6 months ago
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆33Updated 3 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆40Updated 3 years ago
• lbn187 / DLGNN
  ☆16Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆29Updated 2 years ago
• divelab / LGLP
  ☆20Updated 4 years ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆61Updated 5 years ago
• cvignac / SMP
  ☆27Updated 3 years ago
• liugangcode / GREA
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆39Updated this week
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆44Updated 3 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 3 years ago
• anasuamitra / ssdcm
  This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.
  ☆9Updated 3 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆54Updated last year
• davidbuterez / gnn-neural-readouts
  ☆27Updated 2 months ago