Accompanied repositories for our paper Graph foundation model

This repo contains the codes for our paper "Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning" (ICML 2024).

西北工业大学硕博学位论文模版 | Yet Another Thesis Template for Northwestern Polytechnical University

Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks

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

A curated list for awesome self-supervised learning for graphs.

This is the project for deep learning in stock market prediction.

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Heterogeneous Graph Neural Network

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Representation learning on large graphs using stochastic graph convolutions.

Implementation of Graph Convolutional Networks in TensorFlow

Accelerated Attributed Network Embedding, SDM 2017

电子图书

Deep Learning Papers on Medical Image Analysis

📡 Simple and ready-to-use tutorials for TensorFlow

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

中文 Python 笔记

C++ library for single cell analyses

C++ library for single cell analyses