activity
20132026
most citedModeling polypharmacy side effects with graph convolutional networks

1.5k citations · 6.9k across the 102 of their papers we have counts for

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Showing 2024Show all

18 papers · 1 filter

cs.LG2024

Multi Scale Graph Neural Network for Alzheimer's Disease

Anya Chauhan, Ayush Noori, Zhaozhi Li +4

Alzheimer's disease (AD) is a complex, progressive neurodegenerative disorder characterized by extracellular A\b{eta} plaques, neurofibrillary tau tangles, glial activation, and ne…

cs.CR2024

FoldMark: Protecting Protein Generative Models with Watermarking

Zaixi Zhang, Ruofan Jin, Kaidi Fu +3

Protein structure is key to understanding protein function and is essential for progress in bioengineering, drug discovery, and molecular biology. Recently, with the incorporation…

cs.HC2024

GNN101: Visual Learning of Graph Neural Networks in Your Web Browser

Yilin Lu, Chongwei Chen, Yuxin Chen +3

Graph Neural Networks (GNNs) have achieved significant success across various applications. However, their complex structures and inner workings can be challenging for non-AI exper…

q-bio.QM2024

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities

Charlotte Bunne, Yusuf Roohani, Yanay Rosen +39

The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determ…

cs.AI2024★ 4 cited

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

Xiaorui Su, Yibo Wang, Shanghua Gao +4

Biomedical reasoning integrates structured, codified knowledge with tacit, experience-driven insights. Depending on the context, quantity, and nature of available evidence, researc…

cs.LG2024★ 1 cited

Repurposing Foundation Model for Generalizable Medical Time Series Classification

Nan Huang, Haishuai Wang, Zihuai He +2

Medical time series (MedTS) classification suffers from poor generalizability in real-world deployment due to inter- and intra-dataset heterogeneity, such as varying numbers of cha…