Graph Neural Networks For Biological Knowledge Discovery

Antoine Toffano; Jérôme Azé; Pierre Larmande

Graph Neural Networks For Biological Knowledge Discovery

Conference poster

Open access

Graph Neural Networks For Biological Knowledge Discovery

Antoine Toffano, Jérôme Azé and Pierre Larmande

JOBIM 2024 - 24es Journées Ouvertes en Biologie, Informatique et Mathématiques (Toulouse, France, 25/06/2024–28/06/2024)

Abstract

System biology

Link Prediction

GNN

Introduction: <br />Biological data is both abundant and heterogeneous. Consequently, it beneﬁts from non-Euclidean structures like graphs for representation.This study examines how Graph Neural Networks (GNNs) perform in biological knowledge discovery compared to traditional geometric models.

Files and links (1)

url

Find in HALView

Metrics

1 Record Views

Details

Title: Graph Neural Networks For Biological Knowledge Discovery
Creators - without role: Antoine Toffano - ADVanced Analytics for data SciencE
Jérôme Azé - ADVanced Analytics for data SciencE
Pierre Larmande - Université de Montpellier, Diversité, Adaptation et Développement des plantes - DIADE
Conference: JOBIM 2024 - 24es Journées Ouvertes en Biologie, Informatique et Mathématiques (Toulouse, France, 25/06/2024–28/06/2024)
Identifiers: 9940466209311
Academic Unit: Diversité, Adaptation et Développement des plantes - DIADE; Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Language: English
Resource Type: Conference poster
Local Fields: hal-04631478