Alternatives and similar repositories for VGAE_pyG

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

• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆203Updated 4 years ago
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆104Updated 4 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago
• maxiaoba / GRAPE
  ☆146Updated 4 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆48Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆419Updated 4 years ago
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆34Updated 3 years ago
• DevinKreuzer / SAN
  ☆156Updated 4 years ago
• ma-compbio / Hyper-SAGNN
  hypergraph representation learning, graph neural network
  ☆101Updated last year
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆117Updated 5 years ago
• zhao-tong / GAug
  AAAI'21: Data Augmentation for Graph Neural Networks
  ☆195Updated last year
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago
• davidbuterez / gnn-neural-readouts
  ☆27Updated 11 months ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆234Updated 2 years ago
• LarsHoldijk / RE-ParameterizedExplainerForGraphNeuralNetworks
  ☆55Updated 3 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆107Updated 6 months ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆91Updated last year
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆104Updated 2 years ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆141Updated last year
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆126Updated last year
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆76Updated 2 years ago
• THUDM / GRAND
  Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
  ☆212Updated 2 years ago
• DeepGraphLearning / GraphLoG
  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
  ☆80Updated 4 years ago
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆143Updated 10 months ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆170Updated 3 years ago