144 Open source projects that are alternatives of or similar to GraphScope

A reading list for deep graph learning acceleration.

StellarGraph - Machine Learning on Graphs

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).

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

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

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Demo of RouteNet in ACM SIGCOMM'19

🔧 Python Random Graph Generator

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

Sparse, General Linear Algebra for Graphs!

JavaScript tools for graph processing in Node.js and the browser inspired by the Apache TinkerPop API

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

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Visualization tool for Graph Neural Networks

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

Yet another JanusGraph, Cassandra/Scylla and Elasticsearch in Docker Compose setup

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

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

Transforming Graphs for Efficient Irregular Graph Processing on GPUs

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

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

Data Integration Graph

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

gremlin-orm is an ORM for graph databases in Node.js

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

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

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

AAAI'21: Data Augmentation for Graph Neural Networks

Code and resources on scalable and efficient Graph Neural Networks

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

A spherical CNN for weather forecasting

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

Amazon Neptune CSV to RDF Converter is a tool for Amazon Neptune that converts property graphs stored as comma separated values into RDF graphs.

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

Awesome Graph Self-Supervised Learning

OGM

Subgraph Neural Networks (NeurIPS 2020)

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

YANGDB Open-source, Scalable, Non-native Graph database (Powered by Elasticsearch)

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

Summary of social recommendation papers and codes

Samples and documentation for using the Amazon Neptune graph database service

Reimplementation of Graph Embedding methods by Pytorch.

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Cassandra ORM/ODM/OGM for Node.js with optional support for Elassandra & JanusGraph

Pytorch differentiable molecular dynamics

VS Code extension for Azure Databases

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

This repository only contains an outdated version of Gremlin.Net. For newer version head to Apache TinkerPop.

Tutorials for Machine Learning on Graphs

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