Search Results for author: Ngo Van Linh

Found 2 papers, 2 papers with code

A Graph Convolutional Topic Model for Short and Noisy Text Streams

1 code implementation13 Mar 2020 Ngo Van Linh, Tran Xuan Bach, Khoat Than

In this paper, to aim at exploiting a knowledge graph effectively, we propose a novel graph convolutional topic model (GCTM) which integrates graph convolutional networks (GCN) into a topic model and a learning method which learns the networks and the topic model simultaneously for data streams.

Topic Models Word Embeddings

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