AAAI 2023 / Data Mining

Continual Graph Convolutional Network for Text Classification

A graph-learning paper for continual text classification, studying how graph convolutional models adapt as text data evolves.

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Research area

Weak supervision, robust learning, topic modeling, continual graph learning, and digital business experiments form the modern method line.

Publication record

Authors
T Wu, Q Liu, Y Cao, Y Huang, XM Wu, J Ding
Venue
Proceedings of the AAAI Conference on Artificial Intelligence
Year
2023
Area
Data Mining