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A  substructure‐aware graph neural network incorporating relation features for drug–drug interaction prediction

• Authors : Dong, Liangcheng; Feng, Baoming; Deng, Zengqian

• Source: Quantitative Biology; September 2024, Vol. 12 Issue: 3 p255-270, 16p

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Gene regulatory network inference based on causal discovery integrating with graph neural network

• Authors : Feng, Ke; Jiang, Hongyang; Yin, Chaoyi

• Source: Quantitative Biology; December 2023, Vol. 11 Issue: 4 p434-450, 17p

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A benchmark study of machine learning methods for molecular electronic transition: Tree‐based ensemble learning versus graph neural network

• Authors : Kang, Beomchang; Seok, Chaok; Lee, Juyong

• Source: Bulletin of the Korean Chemical Society; March 2022, Vol. 43 Issue: 3 p328-335, 8p

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Enhancing Session-Based Recommendations by Fusing Candidate Items.

• Authors : Yingjuan Sun; Wanhua Li; Jingqi Xing

• Source: International Arab Journal of Information Technology (IAJIT); Nov2024, Vol. 21 Issue 6, p1029-1042, 14p

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AD-FGP: Industrial Multivariate Time-Series Anomaly Detection via Fusion of Generative and Predictive Models.

• Authors : YONG JIN; YANG-HUA GAO; WEI-DONG LOU

Subjects: GRAPH neural networks; ARTIFICIAL neural networks; ANOMALY detection (Computer security)

• Source: Journal of Information Science & Engineering; Jan2025, Vol. 41 Issue 1, p155-171, 17p

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Issue Information

• Source: Quantitative Biology; September 2024, Vol. 12 Issue: 3 pi-iv, 4p

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Enhancing Signed Graph Attention Network by Graph Characteristics: An Analysis.

• Authors : Kaewhit, Panatda; Lewchalermvongs, Chanun; Lewchalermvongs, Phakaporn

Subjects: GRAPH neural networks; DATA structures; GRAPH theory

• Source: TEM Journal; May2024, Vol. 13 Issue 2, p885-896, 12p

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A Neural Networks Based Model to Predict the Interest of College Students in Sports Activities.

• Authors : Xiuzu Xiong

Subjects: COLLEGE sports; COLLEGE students; STUDENT activities

• Source: International Journal of Emerging Technologies in Learning; 2023, Vol. 18 Issue 21, p113-128, 16p

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Deep learning for drug‐drug interaction prediction: A comprehensive review

• Authors : Li, Xinyue; Xiong, Zhankun; Zhang, Wen

• Source: Quantitative Biology; March 2024, Vol. 12 Issue: 1 p30-52, 23p

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Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis.

• Authors : Yang, Kunhao; Tanaka, Mikihito

Subjects: GRAPH neural networks; PEARSON correlation (Statistics); BAYESIAN field theory

• Source: Journal of Medical Internet Research; 2023, Vol. 25 Issue 1, p1-11, 11p

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