yueliu1999

Awesome-Jailbreak-on-LLMs. Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

Awesome-Deep-Graph-Clustering. [IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Awesome-Efficient-Inference-for-LRMs. [IEEE T-PAMI] Awesome-Efficient-Inference-for-LRMs is a collection of state-of-the-art, novel, exciting, token-efficient methods for Large Reasoning Models (LRMs). It contains papers, codes, datasets, evaluations, and analyses. https://arxiv.org/pdf/2503.23077

Dink-Net. [ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

HSAN. [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

DCRN. [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

FlipAttack. [ICML 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".

GuardReasoner. [ICLR Workshop 2025] An official source code for paper "GuardReasoner: Towards Reasoning-based LLM Safeguards".

GuardReasoner-VL. [NeurIPS 2025] An official source code for paper "GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning".

KAN4Graph. Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

ELCRec. [NeurIPS 2024] An official source code for paper "End-to-end Learnable Clustering for Intent Learning in Recommendation".

Awesome-Deep-Group-Recommendation. Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

fastcodellama. Self-Acceleration of CodeLlama for Code Generation

RGC. [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.

SCGC. [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".

3d-vision. 这是我学习3d视觉中的一些笔记

Awesome-Incomplete-Graph-Representation-Learning. A curated list for awesome incomplete graph representation learning resources.

Awesome-Deep-Multiview-Clustering.

yueliu1999.github.io. Yue Liu's HomePage.

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。

ITR. [NeurIPS 2024] An official source code for paper "Identify Then Recommend: Towards Unsupervised Group Recommendation".

paper-reading-and-realization. Jupyter Notebook

Statistical-Decision-Theory-and-Bayesian-Analysis-NUDT.

KAN4Rec. Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

NeurIPS-2354-ELCRec-revised. Python

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.

DeepClustering. Methods and Implements of Deep Clustering

Awesome-Long2short-on-LRMs. Awesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains papers, codes, datasets, evaluations, and analyses.

IDCRN.

Awesome-Reasoning-based-VLAs.

awesome-pretrain-on-graphs. [Ai4Science@ICML 2022] A curated list of resources for pre-training on (molecular) graphs.

dgl. Python package built to ease deep learning on graph, on top of existing DL frameworks.

Awesome-LVLM-Safety. A curated list of resources dedicated to the safety of Large Vision-Language Models. This repository aligns with our survey titled A Survey of Safety on Large Vision-Language Models: Attacks, Defenses, and Evaluations.

Graph-Neural-Network.

Awesome-LLM-Strawberry. A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Awesome-LLM-KG. Awesome papers about unifying LLMs and KGs

awesome-llm-security. A curation of awesome tools, documents and projects about LLM Security.

TKDE23-SymCL.

Auto-GPT. An experimental open-source attempt to make GPT-4 fully autonomous.

Awesome-LoRA.

Awesome-LRM-Safety. Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as DeepSeek-R1 and OpenAI o1, which are currently very popular.

GNNPapers. Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature. links to conference publications in graph-based deep learning

yueliu1999.

Awesome-Knowledge-Graph-Reasoning.

A-Unified-Framework-for-Deep-Attribute-Graph-Clustering. This project is a scalable unified framework for deep graph clustering.