zheng-da

dgl

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

GraphEmbeddings

This repo compares different techniques to train node embeddings of a graph without node/edge attributes.

process_webgraph

throughput_benchmark

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

BookCrossing

cache_hit_analysis

covid19-severity-prediction

Covid-19 severity prediction at the county-level + hospital-level.

data-mining-conferences

Ranking, acceptance rate, deadline, and publication tips

dgl-ke-1

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

DGL-tutorial

DistGraphSage

Example-Xiaosong

GAT

GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graphstorm

KDD-2019-Hands-on

DGL tutorial in KDD 2019

label_analysis

MAG

METIS

METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

MS-MARCO-Web-Search

A large-scale information-rich web dataset, featuring millions of real clicked query-document labels

ParMETIS

ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering

pyHGT

Pytorch Code for WWW'20 "Heterogeneous Graph Transformer", which is based on pytorch_geometric

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

random_walk

Reddit_partition

retailrocket

sequential_rec_analysis

Data analysis for sequential recommendation.

WWW20-Hands-on-Tutorial

Materials for DGL hands-on tutorial in WWW 2020

zheng-da.github.io

Github Pages for Da Zheng