KEAML-JLU / DADGNN
The source code of "Deep attention diffusion graph neural networks for text classification"
☆13Updated last year
Alternatives and similar repositories for DADGNN:
Users that are interested in DADGNN are comparing it to the libraries listed below
- ☆18Updated 2 years ago
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆107Updated 4 years ago
- Code for paper "Self-training Method Based on GCN for Semi-supervised Short Text Classification"☆12Updated 3 years ago
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Updated 4 months ago
- Open source code for AAAI 2021 Paper “Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Cla…☆45Updated 3 years ago
- WideMLP for Text Classification☆29Updated 8 months ago
- Social Bot-Aware Graph Neural Network for Early Rumor Detection☆24Updated 2 years ago
- Text Level Graph Neural Network for Text Classification☆47Updated 3 years ago
- This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", …☆42Updated 3 years ago
- ☆34Updated last year
- ☆8Updated 2 years ago
- ☆37Updated 2 years ago
- Codes for SHINE published in EMNLP 2021.☆38Updated 2 years ago
- Code for DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks NAACL2022(https://aclanthology.org/202…☆18Updated 2 years ago
- Personal implementation of the ACL 19 paper "Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conve…☆9Updated 4 years ago
- Dynamic Graph Convolutional Networks with Attention Mechanism for Rumor Detection on Social Media (PLOS ONE 2021)☆36Updated 3 years ago
- MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network☆58Updated last year
- [TextING-pytorch] Pytorch implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"☆13Updated 4 years ago
- Codes for the paper: Adversary-Aware Rumor Detection☆36Updated 2 years ago
- The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification☆111Updated 4 years ago
- Fake News Dataset☆29Updated 2 years ago
- ☆10Updated 2 years ago
- An efficient and simplify re-implement TextGCN with Pytorch-geometric.☆13Updated 3 years ago
- ☆30Updated 4 years ago
- ☆9Updated 2 years ago
- ☆27Updated 3 years ago
- Code for ACL 2022 paper: Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks☆26Updated last year
- Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation☆37Updated 2 years ago
- ☆10Updated 5 years ago
- FANG: Leveraging Social Context for Fake News Detection Using Graph Representation☆73Updated 3 years ago