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Yiming Li's Projects

awesome-dynamicgraphlearning icon awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs). 将深度学习技术(图神经网络等)应用在动态图、动态网络、动态知识图谱上的论文、工具等。

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

craig icon craig

Data-efficient Training of Machine Learning Models

dgl icon dgl

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

evolvegcn icon evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gpucb icon gpucb

Simple implementation of GP-UCB algorithm.

graphsaint icon graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

luckylym.github.io icon luckylym.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nas icon nas

Works built upon DARTS

orca icon orca

Code repository for the SIGMOD2023 paper "Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees".

palette icon palette

Code repository for Palette, a multi-source model selection and ensemble framework.

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reverb icon reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

seed_rl icon seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

toc icon toc

Trie-based Matrix Compression

zebra icon zebra

Code repository for the VLDB2023 paper "Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank".

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