Name: yueliu1999
Type: User
Company: National University of Defense Technology
Bio: Yue Liu is pursuing his master degree in College of Computer, NUDT. His current research interests include GNN, Deep Clustering and Self-Supervised Learning.
Location: Changsha, Hunan, China
Blog: yueliu1999.github.io
yueliu1999's Projects
这是我学习3d视觉中的一些笔记
This project is a scalable unified framework for deep graph clustering.
An experimental open-source attempt to make GPT-4 fully autonomous.
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 is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).
A curated list for awesome incomplete graph representation learning resources.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Awesome papers about unifying LLMs and KGs
A curated list of resources for molecular graph representation learning.
[Ai4Science@ICML 2022] A curated list of resources for pre-training on (molecular) graphs.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Methods and Implements of Deep Clustering
Python package built to ease deep learning on graph, on top of existing DL frameworks.
[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
End-to-end Learnable Clustering for Intent Learning in Recommendation
Self-Acceleration of CodeLlama for Code Generation
Must-read papers on graph neural networks (GNN)
links to conference publications in graph-based deep learning
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations