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
  ☆1,119Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,850Updated last year
• lehaifeng / T-GCN
  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
  ☆1,679Updated last month
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,633Updated 2 years ago
• VeritasYin / STGCN_IJCAI-18
  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks
  ☆1,143Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,044Updated 5 months ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,141Updated 2 years ago
• jwwthu / GNN4Traffic
  This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
  ☆1,172Updated 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…
  ☆2,611Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,214Updated 7 months ago
• liyaguang / DCRNN
  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
  ☆1,341Updated 10 months ago
• nnzhan / MTGNN
  ☆889Updated 2 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆1,004Updated 4 years ago
• nnzhan / Graph-WaveNet
  graph wavenet
  ☆735Updated 3 years ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,988Updated last year
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,011Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,690Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,057Updated 2 years ago
• hazdzz / stgcn
  The PyTorch implementation of STGCN.
  ☆621Updated 6 months ago
• microsoft / StemGNN
  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
  ☆583Updated last year
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆761Updated 5 months ago
• chnsh / DCRNN_PyTorch
  Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
  ☆523Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,387Updated last year
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,033Updated last year
• KimMeen / Awesome-GNN4TS
  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
  ☆813Updated last year
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,362Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated last year
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆582Updated 4 years ago
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,492Updated this week
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆676Updated 3 years ago