scottjiao Goto Github PK

academic-kickstart

algorithms-hello-world

Data structures and basic algorithms

basic-math-parser

A basic math parser to deal with the simple math expressions.

cpf

The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

cvpr2020-shoestring

cvpr2020 source code

dsgcn

dynamic-selftraining-gcn

edgeformers

env_for_opt_methods

era.js

An Era-like Text-based Game Engine written in JS and with Python as game scripts.

gcn-torch-version

PyTorch Implementation of Convolutional Graph Neural Network (GCNs).

gemnet_pytorch

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

gradient-compression-methods

graphalgorithms

some graph algorithms and common operate

graphformers

graphprompt

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

label_proga

lablogs

Log the experiments.

links_py2mat

Script to transform the link information from links.txt to matlab file.

nlp-beginner

NLP上手教程

openhgnn

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

robustness_of_gnns_at_scale

This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).

scottjiao.github.io

Ziang Zhou's Homepage

slotgat_icml23

space4hgnn

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

srgcn