twelfth-star/LinkGPT
LinkGPT: Teaching Large Language Models To Predict Missing Links
This project helps researchers and data scientists predict missing connections within complex datasets, like social networks, recommendation systems, or knowledge graphs. It takes in structured data with existing relationships and descriptive text, then outputs highly accurate predictions of potential new links. Users are typically researchers, machine learning engineers, or data scientists working with graph-structured data.
No commits in the last 6 months.
Use this if you need to accurately identify and predict unobserved or future connections within your graph-based data.
Not ideal if you are looking for a general-purpose natural language processing tool or a simple data visualization library.
Stars
22
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/twelfth-star/LinkGPT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kyzhouhzau/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and...
IndexFziQ/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch...
kenqgu/Text-GCN
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)