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Advanced Graph Neural Networks
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the development, applications, and techniques related to Graph Neural Networks (GNNs) and their variants. It covers topics such as knowledge graph embedding, representation learning, network embedding, deep learning, graph convolutional networks, heterogeneous networks, relational data modeling, signal processing on graphs, and semi-supervised learning.
51
Works
IDs:OpenAlex
How has Advanced Graph Neural Networks's publication output changed over time?
ScholarIQpublication output · 2017–2024
Output grew0% over the shown period — from 1 works in 2017 to 1 in 2024.
1
2
1
2
6
2
1
2017201820192020202120222024
What are the most-cited papers on Advanced Graph Neural Networks?
ScholarIQmost cited works
Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
S4210194376. 20205,675 CitationsOPEN ACCESS
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
arXiv (Cornell University). 20181,454 CitationsOPEN ACCESS
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Bharti Khemani, Shruti Patil, Ketan Kotecha, Sudeep Tanwar
S2737955091. 2024534 CitationsOPEN ACCESS
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
IEEE Transactions on Neural Networks and Learning Systems. 2021462 CitationsOPEN ACCESS
Where is Advanced Graph Neural Networks research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S42101943765,675
S2737955091534
S115004586278
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Advanced Graph Neural Networks is open access?
ScholarIQopen access share
60%OPEN ACCESS
Gold
33%
Green
27%
Hybrid
0%
Bronze
0%
Closed
40%
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