Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023

Rex Ying's Ph.D. Thesis, Stanford University

Contrastive learning based KGE

This repository contains implementations and illustrative code to accompany DeepMind publications

C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers

Python library assists deep learning on graphs

Combining relational context and relational paths for knowledge graph completion

ContextKGEmbedding

gnn explainer

Neural relational inference for interacting systems - pytorch

Compute graph embeddings via Anonymous Walk Embeddings

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

Graph Neural Network Library for PyTorch

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Representation learning on large graphs using stochastic graph convolutions.

An Open Source Machine Learning Framework for Everyone

Simple reference implementation of GraphSAGE.

Training computational graph on top of structured data (string, graph, etc)

ORbit Counting Algorithm

Majal's scripts playground. ;-)

Tools for accessing/processing Reddit data and constructing networks based on this data. (Not an API crawler.)

为知笔记跨平台客户端

Item Info Script for Path of Exile

GoogleTest - Google Testing and Mocking Framework

An open-source graph database