Alternatives and similar repositories for DynamicGraphLearning

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

• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆54Updated last year
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆39Updated last year
• mmg63 / Hypergraph-Convolution-and-Attention-networks
  Hypergraph convolution and attention networks research
  ☆15Updated last year
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆49Updated 2 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• yanghaoxie / GCN-GAN-for-Weighted-Dynamic-Networks
  GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
  ☆34Updated 6 years ago
• ruizhang-ai / WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
  WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021
  ☆24Updated 4 years ago
• snap-stanford / CAW
  ☆79Updated 3 years ago
• viz27 / SEComm
  ☆14Updated 4 years ago
• songjiang0909 / HINTS_code
  Code for "HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding".
  ☆14Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆36Updated 4 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆24Updated 3 years ago
• yuwvandy / G2GNN
  ☆45Updated 2 years ago
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆59Updated last year
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆49Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆48Updated 4 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆21Updated 4 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 10 months ago
• KnowledgeDiscovery / StrGNN
  Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
  ☆24Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 3 years ago
• jianz94 / e-lstm-d
  souece code of e-lstm-d
  ☆21Updated 5 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• DMIRLAB-Group / MGNN
  ☆10Updated 2 years ago
• Monti03 / GUCD
  Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection
  ☆19Updated 4 years ago
• yuwvandy / DPGNN
  ☆38Updated 2 years ago
• yh-yao / InterpretableClustering
  ☆24Updated last year
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆37Updated 3 years ago