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[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
GPTeam: An open-source multi-agent simulation
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
"MiniRAG: Making RAG Simpler with Small and Free Language Models"
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
A curated list of resources on cold-start recommendations.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Scorpius: Poisoning scientific knowledge using large language models
Source codes for paper "MACRec: A Multi-Agent Collaboration Framework for Recommendation" at SIGIR 2024
Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)
[WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"
[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
"EasyRec: Simple yet Effective Language Model for Recommendation"
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis