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Demo Data from EDBT 2026 / reviewers in the wild / expert

Martino Milani

dblp:264/2671 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Graph learning · 50% Deep learning architectures and training · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Graph learning
graph neural network		 0.412020
DeepSphere: a graph-based spherical CNN · ICLR 2020
Machine learning › Deep learning architectures and training › equivariant neural network
spherical CNN		 0.412020
DeepSphere: a graph-based spherical CNN · ICLR 2020
YearPublicationVenuePosition
2020 DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
 ICLR2