Daniele Zambon

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Ming Jin, Huan Yee Koh, Qingsong Wen et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024 · 406 citations · Full text

Computing, Data Science, Forecasting +16

Understanding Pooling in Graph Neural Networks

Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 107 citations · Full text

Computing, Computer Science, Algorithms +13

Cardiac troponin elevations in chronic renal failure: prevalence and clinical significance

P Musso, Ian Cox, Elida Vidano et al. · Clinical Biochemistry · 1999 · 103 citations

Medicine, Cardiology, Internal Medicine +12

Concept Drift and Anomaly Detection in Graph Streams

Daniele Zambon, Cesare Alippi, Lorenzo Livi · IEEE Transactions on Neural Networks and Learning Systems · 2018 · 53 citations · Full text

Computing, Data Science, Data Mining +16

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

Daniele Grattarola, Daniele Zambon, Lorenzo Livi et al. · IEEE Transactions on Neural Networks and Learning Systems · 2019 · 40 citations · Full text

Computing, Computer Science, Mathematics +17