bachtranxuan / GCTM
This is an implementation of Graph Convolution Topic Model for Data Streams
☆15Updated 2 years ago
Alternatives and similar repositories for GCTM:
Users that are interested in GCTM are comparing it to the libraries listed below
- Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.☆46Updated 6 years ago
- Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"☆31Updated 4 years ago
- ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"☆24Updated 6 years ago
- Code for the paper "NetTaxo: Automated Topic Taxonomy Constructionfrom Text-Rich Network"☆29Updated 2 years ago
- Knowledge Graph Embedding LDA. AAAI 2017☆39Updated 6 years ago
- A tool for taxonomy construction using Graph Neural Networks (GNN).☆27Updated 4 months ago
- PyTorch implementations of NVDM, GSM, NTM, NTMR☆74Updated 5 years ago
- Graph Neural networks for NLP☆26Updated 4 years ago
- Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"☆37Updated 5 years ago
- A generalized input-label embedding for text classification☆23Updated 5 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 4 years ago
- Short Text Topic Modeling☆65Updated 6 years ago
- PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)☆38Updated 5 years ago
- Taxonomy refinement method to improve domain-specific taxonomy systems.☆28Updated 7 months ago
- Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings☆33Updated 5 years ago
- Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)☆81Updated 2 years ago
- Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity (CIKM'19)☆17Updated 5 years ago
- A Pytorch implementation of "Knowledge-Enhanced Ensemble Learning for Word Embeddings" (WWW 2019)☆37Updated 5 years ago
- ☆22Updated 6 years ago
- [KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding☆57Updated 3 years ago
- Topic taxonomy completion with hierarchical discovery of novel topic clusters☆24Updated 2 years ago
- ☆32Updated 6 years ago
- Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"☆50Updated 3 years ago
- A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)☆24Updated 4 years ago
- Message Passing Attention Networks for Document Understanding☆61Updated 3 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆41Updated 3 years ago
- Code for Attention Word Embeddings☆20Updated 4 years ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆31Updated 4 years ago
- Python interface for https://github.com/dice-group/Palmetto☆40Updated 2 years ago
- Max-Margin Markov Graph Models for WordNet (EMNLP 2018)☆41Updated 4 years ago