yueliu1999
Yue Liu is pursuing his master degree in College of Computer, NUDT. His current research interests include GNN, Deep Clustering and Self-Supervised Learning.
National University of SingaporeSingapore
Pinned Repositories
Awesome-Knowledge-Graph-Reasoning
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome-Jailbreak-on-LLMs
DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Dink-Net
[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
fastcodellama
Self-Acceleration of CodeLlama for Code Generation
HSAN
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
KAN4Graph
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
RGC
[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.
yueliu1999's Repositories
yueliu1999/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
yueliu1999/Dink-Net
[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
yueliu1999/HSAN
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
yueliu1999/DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
yueliu1999/Awesome-Jailbreak-on-LLMs
yueliu1999/KAN4Graph
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
yueliu1999/fastcodellama
Self-Acceleration of CodeLlama for Code Generation
yueliu1999/RGC
[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.
yueliu1999/Awesome-Deep-Group-Recommendation
Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).
yueliu1999/SCGC
[TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".
yueliu1999/yueliu1999.github.io
Yue Liu's HomePage.
yueliu1999/ELCRec
End-to-end Learnable Clustering for Intent Learning in Recommendation
yueliu1999/KAN4Rec
Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations
yueliu1999/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.
yueliu1999/IDCRN
yueliu1999/TKDE23-SymCL
yueliu1999/A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
yueliu1999/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
yueliu1999/Awesome-Deep-Multiview-Clustering
yueliu1999/Awesome-Knowledge-Graph-Reasoning
yueliu1999/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
yueliu1999/awesome-molecular-graph-representation-learning
A curated list of resources for molecular graph representation learning.
yueliu1999/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
yueliu1999/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
yueliu1999/SIGIR23-RPC
yueliu1999/tmp
yueliu1999/Awesome-LoRA
yueliu1999/FlipAttack
yueliu1999/SMDL-Attribution
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
yueliu1999/SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"