danielegrattarola / spektral
Graph Neural Networks with Keras and Tensorflow 2.
☆2,376Updated last year
Alternatives and similar repositories for spektral:
Users that are interested in spektral are comparing it to the libraries listed below
- Build Graph Nets in Tensorflow☆5,383Updated 2 years ago
- StellarGraph - Machine Learning on Graphs☆3,000Updated last year
- TensorFlow implementations of Graph Neural Networks☆919Updated 2 years ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,220Updated 9 months ago
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,439Updated last month
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,998Updated 4 months ago
- TensorFlow 2 library implementing Graph Neural Networks☆372Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,686Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,582Updated last year
- A Graph Neural Network Library in Jax☆1,427Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,411Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,514Updated 9 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,795Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,191Updated last month
- Training neural models with structured signals.☆992Updated 3 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,787Updated 2 years ago
- Python library assists deep learning on graphs☆555Updated last year
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆920Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,865Updated 2 months ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,792Updated last month
- A library for graph deep learning research☆1,952Updated 9 months ago
- Keras implementation of Graph Convolutional Networks☆790Updated 4 years ago
- TGN: Temporal Graph Networks☆1,047Updated 11 months ago
- gnn explainer☆949Updated 8 months ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,084Updated 4 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,347Updated 3 years ago
- Implementation of the node2vec algorithm.☆1,269Updated 9 months ago