Search Results for author: Chengtai Cao

Found 3 papers, 1 papers with code

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

1 code implementation21 Dec 2022 Chengtai Cao, Fan Zhou, Yurou Dai, JianPing Wang

Owing to its generalization, MixDA has penetrated a variety of applications which are also completely reviewed in this work.

Data Augmentation

Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay

no code implementations22 Mar 2020 Fan Zhou, Chengtai Cao

Graph Neural Networks (GNNs) have recently received significant research attention due to their superior performance on a variety of graph-related learning tasks.

Graph Classification Graph Learning +1

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

no code implementations23 May 2019 Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng

Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i. e., acquiring new knowledge and skills with little or even no demonstration.

Few-Shot Learning General Classification +1

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