✨Data Intelligence Lab@HKU✨
@HKUDSOrganizationOn the leaderboard
| Rank | Repository | Stars |
|---|---|---|
| 999 | HKUDS/nanobot | 29,617 |
Top repositories by stars
- Python29,617
- HKUDS/LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Python29,045 - HKUDS/DeepCode
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Python14,762 - HKUDS/RAG-Anything
"RAG-Anything: All-in-One RAG Framework"
Python14,001 - HKUDS/AI-Trader
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
Python11,555 - HKUDS/DeepTutor
"DeepTutor: AI-Powered Personalized Learning Assistant"
Python10,579 - HKUDS/AutoAgent
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
Python8,629 - HKUDS/ClawWork
"ClawWork: OpenClaw as Your AI Coworker - 💰 $15K earned in 11 Hours"
Python6,685 - HKUDS/AI-Researcher
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
Python4,606 - HKUDS/Paper2Slides
"Paper2Slides: From Paper to Presentation in One Click"
Python3,139 - HKUDS/VideoRAG
[KDD'2026] "VideoRAG: Chat with Your Videos"
Python2,753 - HKUDS/ViMax
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
Python2,392 - HKUDS/MiniRAG
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Python1,745 - HKUDS/FastCode
"FastCode: Accelerating and Streamlining Your Code Understanding"
Python1,661 - HKUDS/Auto-Deep-Research
"Your Fully-Automated Personal AI Assistant"
Python1,391 - HKUDS/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
Python815 - HKUDS/OpenPhone
"OpenPhone: Mobile Agentic Foundation Models for AI Phone"
Python712 - HKUDS/LightReasoner
"LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
Python593 - HKUDS/AnyTool
"AnyTool: Universal Tool-Use Layer for AI Agents"
Python591 - HKUDS/SepLLM
[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"
Python566 - HKUDS/SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Python555 - HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Python508 - HKUDS/VideoAgent
"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"
Python485 - HKUDS/RLMRec
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Python447 - HKUDS/UrbanGPT
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
Python426 - HKUDS/Awesome-LLM4Graph-Papers
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
367 - HKUDS/GraphAgent
[EMNLP2025] "GraphAgent: Agentic Graph Language Assistant"
Jupyter Notebook343 - HKUDS/OpenGraph
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
Python329 - HKUDS/MMSSL
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
Python225 - HKUDS/AnyGraph
"AnyGraph: Graph Foundation Model in the Wild"
Python224 - HKUDS/LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
Python199 - HKUDS/MoChat
"MoChat: OpenClaw as Your Social Agent https://mochat.io"
TypeScript196 - HKUDS/XRec
[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"
Python170 - HKUDS/OpenCity
"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
Python147 - HKUDS/HiGPT
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
Python146 - HKUDS/GraphEdit
"GraphEdit: Large Language Models for Graph Structure Learning"
Python142 - HKUDS/EasyRec
[EMNLP'2025] "EasyRec: Simple yet Effective Language Model for Recommendation"
Python139 - HKUDS/DiffKG
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
Python132 - HKUDS/FutureShow
"FutureShow: Can AI Predict the Future? Live Real-World Forecasting"
Python126 - HKUDS/HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Python126 - HKUDS/Awesome-SSLRec-Papers
[ACM CSUR] "A Comprehensive Survey of Self-Supervised Learning for Recommendation"
124 - HKUDS/DeepInnovator
"DeepInnovator: AI Research Assistant - Idea Spark & Scientific Discovery"
Python122 - HKUDS/Litewrite
"Litewrite: Vibe Writing is Coming - Write Faster and Better! https://litewrite.ai"
TypeScript120 - HKUDS/RecLM
[ACL2025] "RecLM: Recommendation Instruction Tuning"
Python109 - HKUDS/DiffMM
[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
Python99 - HKUDS/FlashST
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Python95 - HKUDS/RecDiff
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
Python89 - HKUDS/GPT-ST
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
Python88 - HKUDS/KGRec
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
Python84 - HKUDS/GraphPro
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
Python74 - HKUDS/GFormer
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
Python73 - HKUDS/SelfGNN
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
Jupyter Notebook70 - HKUDS/AdaGCL
[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
Python70 - HKUDS/AutoST
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
Python69 - HKUDS/DiffGraph
[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
Python67 - HKUDS/MAERec
[SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
Python65 - HKUDS/DCCF
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
Python64 - HKUDS/DCRec
[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
Python63 - HKUDS/STExplainer
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Python61 - HKUDS/LightGNN
[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"
Python58 - HKUDS/GraphST
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Python58 - HKUDS/PromptMM
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
Python53 - HKUDS/RecGPT
[EMNLP2025] "RecGPT: A Foundation Model for Sequential Recommendation"
Python52 - HKUDS/FastAgent
"FastAgent: Simple, Fast, and Strong LLM Agents"
Python51 - HKUDS/AutoCF
[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
Python51 - HKUDS/Awesome-LLM4Urban-Papers
[ACM TIST] "LLM4Urban: Urban Computing in the Era of Large Language Models"
44 - HKUDS/DeepResearch-Eval
"DeepResearch-Eval: An End-to-End Evaluation Framework for DeepResearch Systems"
Python38 - HKUDS/DSL
[IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
Python33 - HKUDS/SimRec
[WWW'23] "SimRec: Graph-less Collaborative Filtering"
Python33 - HKUDS/CL4ST
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
Python25 - HKUDS/DGNN
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
Python25 - HKUDS/GraphAug
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
Python24 - HKUDS/GTE
[CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
Python22 - HKUDS/EasyST
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
Python21 - HKUDS/MixRec
[WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
Python20 - HKUDS/RCL
[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
Python16 - Roff3