Vol. 2 No. 2 (2026): Jul–Dec 2026

Published: 2026-07-03

A Comparative Evaluation of Post-hoc Explainability Methods for Graph Neural Networks in Node Classification

Yunqiang Sun, Ruming Tang
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Comparative Empirical Evaluation of Monte Carlo Dropout Uncertainty Measures for Failure Capture and Referral Trade-offs in Chest X-ray Disease Detection: A Reproducible Simulation Study

Yali Zhang, Chenhui Hao
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How Far Have We Debiased? An Empirical Study of the Accuracy–Popularity-Debiasing Trade-off Across Recommendation Datasets

Shang Wen, Haobin Pan
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Static Structure versus Edge-Order Representation for Drive-by-Download Detection in Linux Audit Graphs: A Reproducible Evaluation

Xinyu Zhang, Jiale Gao, Yinchu Wu
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Privacy-Preserving and Fair Federated Learning for Clinical and Financial Risk Assessment

Daiyang Zhang
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Evidence-Centered Clinical Intelligence for Drug Discovery, Trial Recruitment, and Personalized Care

Yinchu Wu
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Fairness, Calibration, and Interpretability in Alternative-Data Credit Scoring

Guoli Rao
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Can Zero-Shot Prompting Classify Risky Bitcoin Transactions from Compact One-Hop Narratives? A Small-Scale Exploratory Study

Zhouting Mo, Jiayuan Chen
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Faithfulness, Stability, Agreement, and Complexity of Post-hoc Explanations for Card Fraud Alerts: A Comparative Evaluation of SHAP, LIME, Permutation Importance, and Counterfactuals

Yunfei Gao, Chenhui Hao
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Budgeted Human Review for Privacy-Aware Clinical and Financial Risk Triage

Xuanyang Lu
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