111 Open source projects that are alternatives of or similar to kGCN

A reading list for deep graph learning acceleration.

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

An index of recommendation algorithms that are based on Graph Neural Networks.

A list of data mining and machine learning papers that I implemented in 2019.

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

StellarGraph - Machine Learning on Graphs

Representation Learning on Graphs with Jumping Knowledge Networks

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

A distributed graph deep learning framework.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Tutorials for Machine Learning on Graphs

IUPAC SMILES+ Specification

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

3D molecular fingerprints

🔬📚 Galaxy Tool wrappers

Web Interface for ChEMBL @ EMBL-EBI

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

RandomX OpenCL implementation

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.

Hierarchical orderings for mass spectrometry data. Canonically pronounced "chemis-tree".

Code and resources on scalable and efficient Graph Neural Networks

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Version 3 of Chem4Word - A Chemistry Add-In for Microsoft Word

A lightweight python-only library for reading and writing SMILES strings

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

No description or website provided.

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

organic chemistry reaction prediction using NMT with Attention

Python for chemoinformatics

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

Smart contract vulnerability detection using graph neural network (DR-GCN).

Ideas for chemical similarity searches in MongoDB.

Code for reproducing results in GraphMix paper

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

Molecular dynamics simulation software

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

A Chemical Knowledge Graph of What is Common in the World.

Official implementation of MSR-GCN (ICCV2021 paper)

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A curated list of Cheminformatics libraries and software.

Deep Reinforcement Learning for de-novo Drug Design

Python package for graph neural networks in chemistry and biology

TypeDB-ML is the Machine Learning integrations library for TypeDB

This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep learning.

Open Drug Discovery Toolkit

A deep learning framework for molecular docking

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

ACL 2018: Dating Documents using Graph Convolution Networks