zhiqiangzhongddu

pytorch_geometric

Graph Neural Network Library for PyTorch

pyecharts

🎨 Python Echarts Plotting Library

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

cheatsheets

Official Matplotlib cheat sheets

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

stellargraph

StellarGraph - Machine Learning on Graphs

euler

A distributed graph deep learning framework.

rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

node2vec

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

awesome-coronavirus

🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

Papers on Graph neural network(GNN)

Graph-neural-networks

diffpool

decagon

Graph convolutional neural network for multirelational link prediction

Graph-Neural-Network-Review

P-GNN

Position-aware Graph Neural Networks

pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

graph-convolution-nlp

Graph Convolution Network for NLP

tutorials

Tutorials for the usage of the Uni.lu HPC platform

HARP

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

Classic-ML-Methods-Algo

Review, theoretical analysis and implementation of classic Machine Learning methods

Awesome-Knowledge-augmented-GML-for-Drug-Discovery

A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.

KDD2023_KaGML_DrugDiscovery_Tutorial

Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability