#计算机科学#Graph Neural Network Library for PyTorch
#计算机科学#Python package built to ease deep learning on graph, on top of existing DL frameworks.
#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
#Awesome#Anomaly detection related books, papers, videos, and toolboxes
#计算机科学#links to conference publications in graph-based deep learning
#计算机科学#A unified, comprehensive and efficient recommendation library
#计算机科学#SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
#计算机科学#精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
#计算机科学#StellarGraph - Machine Learning on Graphs
#计算机科学#A distributed graph deep learning framework.
#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
#计算机科学#Repository for benchmarking graph neural networks (JMLR 2023)
#计算机科学#Graph Neural Networks with Keras and Tensorflow 2.
#数据仓库#Benchmark datasets, data loaders, and evaluators for graph machine learning
#自然语言处理#😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
#自然语言处理#Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
#计算机科学#Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
#自然语言处理#Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!