Alternatives and similar repositories for DyVGRNN:

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

• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆37Updated 11 months ago
• lgalke / lifelong-learning
  Lifelong Learning of Graph Neural Networks for Open-World Node Classification
  ☆29Updated last year
• viz27 / SEComm
  ☆13Updated 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
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago
• cgao-comp / DGCN
  The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…
  ☆18Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆46Updated last year
• yh-yao / InterpretableClustering
  ☆21Updated 10 months ago
• KnowledgeDiscovery / StrGNN
  Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
  ☆23Updated 9 months ago
• xuaikun / THAN
  THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks
  ☆12Updated 3 months ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆18Updated last year
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆39Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆22Updated 2 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆31Updated 5 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆50Updated last year
• alge24 / DyGNN
  ☆58Updated 4 years ago
• RPaolino / fLode
  ☆18Updated last year
• snap-stanford / CAW
  ☆77Updated 2 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 4 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆37Updated 2 years ago
• DMIRLAB-Group / MGNN
  ☆10Updated last year
• simondelarue / dynGNN
  Representation and learning framework for dynamic graphs using Graph Neural Networks.
  ☆12Updated 3 years ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• Harryi0 / dyrep_torch
  ☆39Updated 4 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆36Updated 10 months ago
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆28Updated last year
• GemsLab / CPGNN
  ☆29Updated 3 years ago