Alternatives and similar repositories for pytorch_geometric_temporal

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

• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,845Updated last year
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,102Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,035Updated 5 months ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,626Updated 2 years ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,141Updated 2 years ago
• lehaifeng / T-GCN
  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
  ☆1,669Updated last month
• liyaguang / DCRNN
  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
  ☆1,332Updated 9 months ago
• jwwthu / GNN4Traffic
  This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
  ☆1,166Updated last year
• nnzhan / MTGNN
  ☆882Updated 2 years ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,986Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,215Updated 6 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,006Updated 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…
  ☆2,595Updated 2 years ago
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆998Updated 4 years ago
• KimMeen / Awesome-GNN4TS
  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
  ☆804Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,385Updated last year
• VeritasYin / STGCN_IJCAI-18
  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks
  ☆1,133Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,687Updated last year
• nnzhan / Graph-WaveNet
  graph wavenet
  ☆723Updated 3 years ago
• microsoft / StemGNN
  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
  ☆577Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,050Updated 2 years ago
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,490Updated 3 weeks ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,026Updated last year
• chnsh / DCRNN_PyTorch
  Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
  ☆519Updated last year
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,348Updated last year
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆798Updated 2 years ago
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆755Updated 5 months ago
• hazdzz / stgcn
  The PyTorch implementation of STGCN.
  ☆614Updated 6 months ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,248Updated 4 years ago