CRIPAC-DIG / TextINGLinks
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
☆180Updated last year
Alternatives and similar repositories for TextING
Users that are interested in TextING are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Graph Convolutional Networks for Text Classification"☆132Updated 2 years ago
- Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]☆139Updated 4 years ago
- ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks☆291Updated 2 years ago
- PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."☆269Updated 5 years ago
- ☆128Updated last year
- source code of our paper presents in EMNLP 2019. https://www.aclweb.org/anthology/D19-1345/☆53Updated 5 years ago
- Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)☆435Updated 3 years ago
- Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"☆249Updated last year
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆263Updated 4 years ago
- MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network☆58Updated 2 years ago
- ☆276Updated 2 months ago
- Text Level Graph Neural Network for Text Classification☆47Updated 4 years ago
- Label-Specific Document Representation for Multi-Label Text Classification☆88Updated 5 years ago
- Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)☆373Updated 5 years ago
- FastGCN for inductive text classification☆86Updated 6 years ago
- The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification☆111Updated 5 years ago
- ☆29Updated 4 years ago
- Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction☆147Updated 4 years ago
- Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.☆74Updated 5 years ago
- Knowledge Graph Embedding Based Question Answering☆156Updated 2 years ago
- The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions☆236Updated 4 years ago
- Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"☆149Updated last year
- A PyTorch implementation of GraphRel☆276Updated last year
- A rough re-implement of Text Level Graph Neural Network for Text Classification☆36Updated 5 years ago
- Global-to-Local Neural Networks for Document-Level Relation Extraction, EMNLP 2020☆53Updated 5 years ago
- Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018☆152Updated 5 years ago
- ☆220Updated 5 years ago
- Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"☆129Updated 4 years ago
- ☆39Updated 2 years ago
- Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional…☆297Updated 4 years ago