Zehong-Wang

GraphAny

GraphAny: A foundation model for node classification on any graph.

ChatGPT-Academic-Prompt

Use ChatGPT for academic writing

Awesome-Dataset-Distillation

A curated list of awesome papers on dataset distillation and related applications.

OneForAll

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

LLM4Graph

InstructGLM

Language is All a Graph Needs

awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

ProG

A Unified Python Library for Graph Prompting

awesome-large-graph-model

Papers about large graph models.

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

SWD-NAS

SR-HGN

This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Network".

Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

graphless-neural-networks

[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

n2n

This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization".

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

zotero-actions-tags

Customize your Zotero workflow.

HGCML

This repo is for source code of SDM 2023 paper "Heterogeneous Graph Contrastive Multi-view Learning".

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

PiCO

PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

EFS-DNN

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

GPT-GNN

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

AUX-TS

official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"