Alexis Giral

dblp:379/5987 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Graph learning
graph neural network
0.812024
Graph Neural Networks for Brain Graph Learning: A Survey · IJCAI 2024
Bioinformatics and computational biology › neuroscience › neuroinformatics
brain network analysis
0.212024
Graph Neural Networks for Brain Graph Learning: A Survey · IJCAI 2024
Bioinformatics and computational biology › neuroscience
neuroinformatics
0.212024
Graph Neural Networks for Brain Graph Learning: A Survey · IJCAI 2024

Methods — techniques the papers use, named apart from their topics

graph neural network · 1.5
YearPublicationVenuePosition
2024 Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo, Jia Wu 0001, Jian Yang 0001, Shan Xue 0001, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
IJCAI9
2024 Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
Jing Du 0003, Guangwei Dong, Congbo Ma, Shan Xue 0001, Jia Wu 0001, Jian Yang 0001, Amin Beheshti, Quan Z. Sheng, Alexis Giral
MICCAI (10)9