yueliu1999's repositories
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
fastcodellama
Self-Acceleration of CodeLlama for Code Generation
Awesome-Deep-Group-Recommendation
Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).
yueliu1999.github.io
Yue Liu's HomePage.
awesome-kan
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-pretrain-on-graphs
[Ai4Science@ICML 2022] A curated list of resources for pre-training on (molecular) graphs.
A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
awesome-molecular-graph-representation-learning
A curated list of resources for molecular graph representation learning.
SMDL-Attribution
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"