no code implementations • Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022 • Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
Our paper studies the continual learning (CL) problems in which data comes in sequence and the trained models are expected to be capable of utilizing existing knowledge to solve new tasks without losing performance on previous ones.
1 code implementation • 13 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.
1 code implementation • 13 Mar 2020 • Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than
We show that some existing approaches can forget any knowledge very fast.