Alternatives and similar repositories for spektral

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

• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,026Updated last year
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,490Updated 3 weeks ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆927Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,385Updated 2 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,248Updated last year
• divelab / DIG
  A library for graph deep learning research
  ☆1,990Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,035Updated 4 months ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,626Updated 2 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,796Updated 2 years ago
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆375Updated 2 years ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,873Updated 2 weeks ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,840Updated last year
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,413Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,598Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆925Updated 2 years ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,102Updated last year
• tensorflow / neural-structured-learning
  Training neural models with structured signals.
  ☆1,007Updated 8 months ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,443Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,215Updated 6 months ago
• 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
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,711Updated 5 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆792Updated 4 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,314Updated 2 years ago
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆553Updated 9 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,006Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,424Updated 3 years ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,281Updated last year
• THUMNLab / AutoGL
  An autoML framework & toolkit for machine learning on graphs.
  ☆1,118Updated last year
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,083Updated 2 months ago