Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Data‐efficient graph learning: Problems, progress, and prospects
Data‐efficient graph learning: Problems, progress, and prospects
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Kaize Ding
,
Yixin Liu
,
Chuxu Zhang
,
Jianling Wang
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
AI Magazine
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
AI fairness in practice: Paradigm, challenges, and prospects
by: Wenbin Zhang
Published: (2024)
Improve robustness of machine learning via efficient optimization and conformal prediction
by: Yan Yan
Published: (2024)
Fairness amidst non‐IID graph data: A literature review
by: Wenbin Zhang, et al.
Published: (2025)
Beyond scaleup: Knowledge‐aware parsimony learning from deep networks
by: Quanming Yao, et al.
Published: (2025)
What AIs are not learning (and why)
by: Mark Stefik
Published: (2025)