IEEE transactions on pattern analysis and machine intelligence
Feb 23, 2026
Causality plays a pivotal role in various fields of study. Based on the framework of causal graphical models, previous works have proposed identifying whether a variable is a cause or non-cause of another variable in every Markov equivalent graph by ... read more
IEEE transactions on pattern analysis and machine intelligence
Feb 23, 2026
Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally informed initial feature representations, where poor initializa... read more
IEEE transactions on pattern analysis and machine intelligence
Feb 23, 2026
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing tasks. Still, there exists an issue of spectral bias in coordinate networks, limiting the capacity t... read more
Parkinson's disease (PD) is a progressive neurodegenerative disorder that profoundly affects patients' quality of life. Early and accurate diagnosis is essential for timely intervention and improved outcomes, yet traditional clinical evaluations ofte... read more
Self-collection of biospecimens at-home, without specialized equipment or training, are increasingly being adopted in clinical practice due to convenience and patient preferences. However, sample instability during shipment means that remote access t... read more
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