zhulf0804/GCN.PyTorch
Graph Convolutional Networks for Text Classification.
This project helps classify academic papers into specific subject categories based on their citation networks and content. You provide a dataset of papers with their text features and citation links, and it outputs the predicted categories for each paper. It's designed for researchers, librarians, or data scientists working with academic literature collections.
No commits in the last 6 months.
Use this if you need to automatically categorize academic papers, particularly in fields like computer science or medicine, where citation networks are available.
Not ideal if your data isn't structured as a graph (like a citation network) or if you're not dealing with text classification.
Stars
47
Forks
4
Language
Python
License
—
Category
Last pushed
Nov 02, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zhulf0804/GCN.PyTorch"
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)