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Nassir Navab — most-cited papers & profile · Graph Learning
← authors
·
overview
Nassir Navab
89
papers ·
234
citations ·
102
h-index
X-Fab (Germany) · Munich Center for Machine Learning · Technical University of Munich
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Most-cited papers
ProtoFlow: Interpretable and Robust Surgical Workflow Modeling with Learned Dynamic Scene Graph Prototypes
2025
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis
2025
PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone
2025
PRISM-0: A Predicate-Rich Scene Graph Generation Framework for Zero-Shot Open-Vocabulary Tasks
2025
Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction
2018
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
2019
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
2019
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
2019
Decision Support for Intoxication Prediction Using Graph Convolutional Networks
2020
Polyp-artifact relationship analysis using graph inductive learned representations
2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
2020
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
2021
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction
2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
2021
Top co-authors
Anees Kazi
· 9
Azade Farshad
· 7
Hendrik Burwinkel
· 5
Shadi Albarqouni
· 5
Federico Tombari
· 4
Seyed-Ahmad Ahmadi
· 4
Benjamin Busam
· 3
David Bani-Harouni
· 3
Felix Holm
· 3
Gerome Vivar
· 3
Yousef Yeganeh
· 3
Chantal Pellegrini
· 2
Topics
cs.LG
cs.CV
cs.AI
Uncategorized
eess.IV
q-bio.GN
cs.NE
q-bio.QM
cs.RO