Alternatives and similar repositories for dynGNN

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

• GhazalehNiknam / DyVGRNN
  ☆11Updated 3 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• viz27 / SEComm
  ☆14Updated 4 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• jhonygiraldo / SJLR
  Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …
  ☆18Updated 2 years ago
• TRI-GNN / TRI-GNN
  ☆12Updated 4 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
• yh-yao / InterpretableClustering
  ☆24Updated last year
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆19Updated 2 years ago
• snap-stanford / CAW
  ☆79Updated 3 years ago
• RPaolino / fLode
  ☆18Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆49Updated 2 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆29Updated 2 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆49Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 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
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆13Updated last year
• baoyujing / NET3
  ☆17Updated 4 years ago
• cvignac / SMP
  ☆30Updated 4 years ago
• FraLotito / higher-order-motifs
  Code for the paper "Higher-order motif analysis in hypergraphs"
  ☆33Updated 3 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆44Updated 5 years ago
• aravindsankar28 / Inf-VAE
  Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
  ☆28Updated 5 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆21Updated 4 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆23Updated 2 years ago
• geon0325 / Set2Box
  Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."
  ☆14Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆55Updated 5 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• Harryi0 / dyrep_torch
  ☆40Updated 4 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆32Updated last year
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 3 years ago