Alternatives and similar repositories for dynGNN

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

• GhazalehNiknam / DyVGRNN
  ☆11Updated 2 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 4 years ago
• TRI-GNN / TRI-GNN
  ☆12Updated 3 years ago
• RPaolino / fLode
  ☆18Updated 2 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆29Updated 2 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• viz27 / SEComm
  ☆14Updated 4 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆19Updated 2 years ago
• yh-yao / InterpretableClustering
  ☆24Updated last year
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated 2 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• deezer / gravity_graph_autoencoders
  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…
  ☆46Updated 2 years ago
• snap-stanford / CAW
  ☆77Updated 3 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆48Updated last year
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• GuillaumeSalhaGalvan / modularity_aware_gae
  Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…
  ☆17Updated 3 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆90Updated 5 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• AnoushkaVyas / GraphZoo
  Facilitating learning, using, and designing graph processing pipelines/models systematically.
  ☆26Updated 3 years ago
• cvignac / SMP
  ☆30Updated 4 years ago
• niuzehao / gnn-gp
  Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"
  ☆16Updated 2 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• 000Justin000 / ssl_edge
  Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"
  ☆15Updated 6 years ago
• baoyujing / NET3
  ☆17Updated 4 years ago
• arbenson / ScHoLP-Tutorial
  Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
  ☆43Updated 6 years ago
• uestc-lese / SPGRL
  ☆18Updated 3 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆23Updated 2 years ago