zshicode / GNN-for-text-classificationLinks
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
☆73Updated 3 years ago
Alternatives and similar repositories for GNN-for-text-classification
Users that are interested in GNN-for-text-classification are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)☆129Updated 5 years ago
- ☆276Updated this week
- [ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"☆180Updated last year
- The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification☆111Updated 4 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆263Updated 4 years ago
- Multi-class Classification with fine-tuned BERT & GNN☆45Updated 3 years ago
- Text Level Graph Neural Network for Text Classification☆47Updated 4 years ago
- ☆21Updated 2 years ago
- Pytorch implementation of "Graph Convolutional Networks for Text Classification"☆131Updated last year
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆110Updated 4 years ago
- Implementation of paper☆38Updated 4 years ago
- MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network☆58Updated last year
- Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algori…☆206Updated 2 years ago
- ☆126Updated last year
- Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]☆140Updated 4 years ago
- A rough re-implement of Text Level Graph Neural Network for Text Classification☆36Updated 4 years ago
- Implementation of TransE model in PyTorch.☆158Updated 2 years ago
- ☆46Updated 5 years ago
- ☆39Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."☆268Updated 5 years ago
- Implementation for AAAI workshop 2022☆14Updated 3 years ago
- Implement of TransE, TransH, KG2E with pytorch☆229Updated 6 years ago
- 1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.☆335Updated 11 months ago
- Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021☆302Updated last year
- Efficient implementation of "Graph Convolutional Networks for Text Classification"☆22Updated 3 years ago
- Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"☆247Updated last year
- Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)☆434Updated 3 years ago
- ☆47Updated 5 years ago
- PyTorch implementation of BiLSTM-CRF and Bi-LSTM-CNN-CRF models for named entity recognition.☆74Updated 4 years ago
- Source code of Graph-Bert☆500Updated 2 years ago