Abstract: Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: Entity alignment (EA) is a critical task in knowledge fusion, focusing on identifying equivalent entities in different knowledge graphs (KGs). As representation learning techniques have ...
From Caseload to Health System Change: Patterns and Outcomes of Pediatric ENT Emergencies in Burundi
Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...
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