Accompanied repositories for our paper Graph foundation model

Awesome papers about unifying LLMs and KGs

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

links to conference publications in graph-based deep learning

PyGCL: A PyTorch Library for Graph Contrastive Learning

A library for graph deep learning research

MLNLP: Paper Picture Writing Code

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

Fast and Accurate ML in 3 Lines of Code

😎 Awesome lists about all kinds of interesting topics

An autoML framework & toolkit for machine learning on graphs.

CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

some tircks for PyTorch

Learning Convolutional Neural Networks with Interactive Visualization.

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

Official PyTorch Implementation of SAGPool - ICML 2019

Must-read papers on graph neural networks (GNN)

Graph Neural Network Library for PyTorch

GNN综述阅读报告

Graph Markov Neural Networks

Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)

Project page for End-to-end Recovery of Human Shape and Pose

⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Build your neural network easy and fast, 莫烦Python中文教学

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