HKUDS/HiGPT
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
This project helps people understand complex relationships within diverse, interconnected data, often found in fields like academic networks or movie databases. By inputting structured data that describes entities and their various connections (e.g., authors, papers, venues), it generates insights or answers questions based on these relationships, going beyond simple keyword matching. Researchers, data scientists, or analysts working with intricate network data would find this useful.
146 stars. No commits in the last 6 months.
Use this if you need a large language model to comprehend and reason over complex, multi-typed relationships within your graph-structured data.
Not ideal if your data is simple, unstructured text or tabular data without inherent, diverse relational connections.
Stars
146
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 05, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/HKUDS/HiGPT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
zjukg/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
nancheng58/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
HKUDS/UrbanGPT
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
HKUDS/GraphGPT
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
bigai-nlco/DocGNRE
[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant...