Liang Li's repositories
Awesome-Incomplete-Graph-Representation-Learning
A curated list for awesome incomplete graph representation learning resources.
awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Incomplete-multi-view-clustering
A collection of incomplete multi-view clustering paper
awesome-awesome-machine-learning
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
awesome-molecular-graph-representation-learning
A curated list of resources for molecular graph representation learning.
awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
liliangnudt.github.io2
Yue Liu's HomePage.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
MatlabFunc
Matlab codes for feature learning
A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
liliangnudt.github.io
Yue Liu's HomePage.
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
e3nn
A modular framework for neural networks with Euclidean symmetry
PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning