A collection of AWESOME things about Graph-Related LLMs.

[KDD 2025] Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners

Official code for “CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models”, accepted by SIGIR 2025

[ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."

A unified, comprehensive and efficient recommendation library

The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Official JavaScript / TypeScript library for the OpenAI API

The official Python library for the OpenAI API

Multi Model Server is a tool for serving neural net models for inference

✨✨Latest Advances on Multimodal Large Language Models

A curated list of awesome multi-modal recommendation.

Official GitHub repository of the lecture "Multimodal Deep Learning for Recommendation", at the 2024 ACM RecSys Summer School

A repository listing important datasets for multimodal recommender systems

This is a repository of public data sources for Recommender Systems (RS).

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

How to Index Item IDs for Recommendation Foundation Models

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Neural Collaborative Reasoning

A high-throughput and memory-efficient inference and serving engine for LLMs

Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation

This is the source code for AAAI 2025 Paper: Dynamic Multi Interest Graph Neural Network for Session-Based Recommendation.