Artificial Intelligence

Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention
Subgraph matching is a challenging problem with a wide range of applications in drug discovery, social network analysis, biochemistry, …
Duc Q. Nguyen, Thanh Toan Nguyen, Jun Jo, Florent Poux, Shikha Anirban, Tho T. Quan
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Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention
10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention
The goal of subgraph matching is to determine the presence of a particular query pattern within a large collection of data graphs. …
Thanh Toan Nguyen, Duc Q. Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
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10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention
Social Bot Detector using Graph Neural Networks
The importance of online social networks (OSNs) has been fueled by the human need for digital communication and broadcasting, as well …
Hoang-Dung Nguyen, Duc Q. Nguyen, Hao Luong Pham, Tho Thanh Quan
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Towards de Novo Drug Design for the Coronavirus: A Drug-Target Interaction Prediction Approach Using Atom-Enhanced Graph Neural Network with Multi-Hop Gating Mechanism
For humans, the COVID-19 pandemic and Coronavirus have undeniably been a nightmare. Although there are effective vaccines, specific …
Duc Q. Nguyen, Khoan D. Le, Bach T. Ly, An D. Nguyen, Quang H. Nguyen, Tuan H. Nguyen, Cuong Quoc Duong, Thanh N. Truong, Phuong Thuy Viet Nguyen, Tho T. Quan
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