Lists (3)
Stars
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
A foundation model for knowledge graph reasoning
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021
pytorch implementation of Stacked and Reconstructed GCN for Recommender Systems (https://arxiv.org/pdf/1905.13129.pdf)
GraphSAGE and GAT for link prediction.
Simple reference implementation of GraphSAGE.
[ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
Official Implementation of ICML 2025 Paper: "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.
Bridging LLM and Recommender System.
Generative Agents: Interactive Simulacra of Human Behavior
level4-recsys-finalproject-hackathon-recsys-02-lv3 created by GitHub Classroom
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is a repository of public data sources for Recommender Systems (RS).