danielegrattarola / spektral
Graph Neural Networks with Keras and Tensorflow 2.
☆2,365Updated 7 months ago
Related projects: ⓘ
- StellarGraph - Machine Learning on Graphs☆2,934Updated 5 months ago
- Build Graph Nets in Tensorflow☆5,344Updated last year
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,133Updated 2 months ago
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,330Updated last week
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,918Updated 7 months ago
- Repository for benchmarking graph neural networks☆2,482Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,364Updated 6 months ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,618Updated 3 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,398Updated last month
- TensorFlow implementations of Graph Neural Networks☆914Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,676Updated 10 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,729Updated last year
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,361Updated this week
- A library for graph deep learning research☆1,843Updated 2 months ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,081Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,644Updated 4 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆369Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,182Updated 2 years ago
- links to conference publications in graph-based deep learning☆4,742Updated last week
- A Graph Neural Network Library in Jax☆1,357Updated 6 months ago
- Paper Lists for Graph Neural Networks☆2,198Updated 8 months ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆891Updated last year
- A comprehensive collection of recent papers on graph deep learning☆3,068Updated 3 years ago
- Bayesian optimization in PyTorch☆3,060Updated this week
- ☆1,273Updated 10 months ago
- Python library assists deep learning on graphs☆543Updated 10 months ago
- Sample Code for Gated Graph Neural Networks☆1,026Updated 4 years ago
- DeepWalk - Deep Learning for Graphs☆2,667Updated last year
- Fastest network node embeddings in the west☆506Updated last month
- Training neural models with structured signals.☆980Updated 3 months ago