[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

Pytorch🍊🍉 is delicious, just eat it! 😋😋

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Hyperbolic Graph Convolutional Networks in PyTorch.

Code and datasets for the paper Graph Neural Networks Use Graphs When They Shouldn’t

The open-source tool for creating 3D models

Open3D: A Modern Library for 3D Data Processing

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

Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"

Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay

Mac/Windows TeamViewer 破解版，解除被检测出商业用途限制

links to conference publications in graph-based deep learning

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

Papers about explainability of GNNs

基于Spring Boot+Vue+ElementUI的人力资源管理系统

IT资产管理系统

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

数据分析实战 kaggle titanic disaster。使用了RandomForestRegressor来预测缺失值，RandomForestClassifier来分类

机器学习、深度学习的学习路径及知识总结

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Must-read papers on graph neural networks (GNN)

Graph Neural Network Library for PyTorch