Alternatives and similar repositories for pytorch_geometric_temporal

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

• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,155Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,864Updated 2 years ago
• lehaifeng / T-GCN
  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
  ☆1,720Updated 4 months ago
• liyaguang / DCRNN
  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
  ☆1,379Updated last year
• jwwthu / GNN4Traffic
  This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
  ☆1,190Updated last year
• VeritasYin / STGCN_IJCAI-18
  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks
  ☆1,174Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,068Updated 8 months ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,155Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,647Updated 2 years ago
• nnzhan / Graph-WaveNet
  graph wavenet
  ☆768Updated 3 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆1,018Updated 4 years ago
• nnzhan / MTGNN
  ☆914Updated 2 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,025Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,227Updated 9 months ago
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,509Updated last week
• chnsh / DCRNN_PyTorch
  Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
  ☆541Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,072Updated 2 years ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,997Updated last year
• hazdzz / stgcn
  The PyTorch implementation of STGCN.
  ☆643Updated 9 months ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,705Updated last year
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,415Updated last year
• microsoft / StemGNN
  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
  ☆593Updated last year
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆781Updated 2 weeks ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆808Updated 3 years ago
• KimMeen / Awesome-GNN4TS
  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
  ☆845Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,393Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,485Updated 3 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆606Updated 4 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,041Updated last year
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,643Updated 3 years ago