Publications by Anh Viet Phan

Publications by authors named "Anh Viet Phan"

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DGCNN: A convolutional neural network over large-scale labeled graphs.

Anh Viet Phan Minh Le Nguyen Yen Lam Hoang Nguyen Lam Thu Bui

Neural Netw

December 2018

Exploiting graph-structured data has many real applications in domains including natural language semantics, programming language processing, and malware analysis. A variety of methods has been developed to deal with such data. However, learning graphs of large-scale, varying shapes and sizes is a big challenge for any method.

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- Anh Viet Phan's research primarily focuses on the application and development of convolutional neural networks for processing large-scale labeled graphs, addressing challenges in handling graph-structured data.
- His notable work includes the article "DGCNN: A convolutional neural network over large-scale labeled graphs," published in December 2018, which highlights the significance of graph-based methods in various fields including natural language semantics and malware analysis.
- The findings illustrate that traditional methods struggle to analyze graphs of varying shapes and sizes, and Phan's research contributes to advancing techniques that can effectively learn from complex graph structures.

Publications by authors named "Anh Viet Phan"

DGCNN: A convolutional neural network over large-scale labeled graphs.

Synopsis of recent research by authors named "Anh Viet Phan"