Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
☆103Jul 28, 2022Updated 3 years ago
Alternatives and similar repositories for keras-deep-graph-learning
Users that are interested in keras-deep-graph-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph convolutional layers☆62Jan 22, 2022Updated 4 years ago
- Keras implementation of Graph Convolutional Networks☆793Apr 19, 2021Updated 5 years ago
- Keras implementation of graph convolutional networks for sequence labelling☆12Sep 21, 2018Updated 7 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- Fold Protein Recognition☆10Sep 3, 2020Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Graph Capsule Convolutional Neural Networks☆37Dec 3, 2019Updated 6 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Oct 26, 2020Updated 5 years ago
- Joint Optimization of Cascade Ranking Models (WSDM 19)☆13Jun 21, 2022Updated 3 years ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,394Jan 21, 2024Updated 2 years ago
- Chemical Property Prediction with Graph Convolutional Networks☆60Mar 3, 2020Updated 6 years ago
- Improved Scaffold Hopping in Ligand-based Virtual Screening Using Neural Representation Learning☆21Mar 9, 2021Updated 5 years ago
- ☆15Aug 2, 2022Updated 3 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Oct 1, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Ipython notebook for blog post entry☆12Jul 12, 2017Updated 8 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Feb 17, 2018Updated 8 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Dec 16, 2018Updated 7 years ago
- TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.☆20Aug 25, 2019Updated 6 years ago
- ☆19Dec 13, 2019Updated 6 years ago
- Bayesian MPNNs for Molecular Property Prediction☆30Dec 30, 2020Updated 5 years ago
- Molecular-GAT☆21May 30, 2018Updated 8 years ago
- ☆18Mar 25, 2020Updated 6 years ago
- Mol-CycleGAN - a generative model for molecular optimization☆77Feb 6, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Deep Learning with Multiple Objectives: 2021 edition☆10May 27, 2021Updated 5 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Dec 6, 2019Updated 6 years ago
- Web apps for Planck-related stuff☆13Sep 13, 2017Updated 8 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆26Jun 4, 2018Updated 8 years ago
- Feynrules and UFO models for SMEFT phenomenology☆16Oct 6, 2022Updated 3 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Jul 17, 2018Updated 7 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Jun 15, 2021Updated 5 years ago
- Fréchet ChemNet Distance: A quality measure for generative models for molecules☆90Apr 1, 2024Updated 2 years ago
- ☆51Dec 17, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Convolutional nets which can take molecular graphs of arbitrary size as input.☆501Jan 23, 2018Updated 8 years ago
- ☆360Oct 12, 2022Updated 3 years ago
- A project to enable optimization of molecules by transforming them to and from a continuous representation.☆156Mar 17, 2017Updated 9 years ago
- ☆13Aug 17, 2020Updated 5 years ago
- CH485 - Artificial Intelligence and Chemistry☆14Jan 1, 2020Updated 6 years ago
- Learning from graph data using Keras☆64May 9, 2019Updated 7 years ago
- ☆13Jul 4, 2020Updated 5 years ago