286 Open source projects that are alternatives of or similar to ASAP

A reading list for deep graph learning acceleration.

Representation Learning on Graphs with Jumping Knowledge Networks

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

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

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

StellarGraph - Machine Learning on Graphs

A distributed graph deep learning framework.

This is a Pytorch implementation of GraphLIME

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).

Deprecated: Use the @encapsule/arccore package that includes the graph library

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

R package implementing edge bundling algorithms

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

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

PyTorch Implementation for Neural Graph Collaborative Filtering

Java Code for Contraction Hierarchies Algorithm, A-Star Algorithm and Bidirectional Dijkstra Algorithm. Tested and Verified Code.

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

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

2020华为软件精英挑战赛

GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators

An experimental GPU accelerated implementation of ForceAtlas2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

rust-library to wrap GraphBLAS.h

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

A C++ Library for Influence Maximization

An app for creating and visualizing graphs and graph-related algorithms.

📟 React and p5, maze generation and path finding visualization

Official implementation of MSR-GCN (ICCV2021 paper)

A very fast visualization library for large, high-dimensional data sets.

Visualization tool for Graph Neural Networks

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

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Master repository for the JGraphT project

Demo of RouteNet in ACM SIGCOMM'19

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Edmonds's blossom algorithm for maximum weight matching in undirected graphs

Subgraph Neural Networks (NeurIPS 2020)

Graph algorithms written in Go

A repository containing link of good interview questions

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Summary of social recommendation papers and codes

Graph Embedding via Frequent Subgraphs

Disentagnled Graph Collaborative Filtering, SIGIR2020

NodeGraph - A simple directed graph with visualization UI.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Code for reproducing results in GraphMix paper

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Personalized PageRank (PPR) on GraphLab PowerGraph

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Code and resources on scalable and efficient Graph Neural Networks