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Found 2 papers, 2 papers with code
Dynamic transformation of prior knowledge into Bayesian models for data streams
We show that some existing approaches can forget any knowledge very fast.
A Graph Convolutional Topic Model for Short and Noisy Text Streams
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.
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