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Advanced Graph Neural Networks

TopicLeading institutions, researchers & key papers

Advanced Graph Neural Networks is a topic indexed in ScholarIQ from OpenAlex.

What is known about Advanced Graph Neural Networks?

ScholarIQrecord summary

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.

How many works does Advanced Graph Neural Networks have?

ScholarIQindexed works

Advanced Graph Neural Networks has 59,776 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Advanced Graph Neural Networks have?

ScholarIQcitation count

Advanced Graph Neural Networks has 562,712 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Advanced Graph Neural Networks?

ScholarIQopenalex

The OpenAlex for Advanced Graph Neural Networks is on the source record.

Who are the most-cited researchers behind Advanced Graph Neural Networks?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Kieron Burke · Advanced Chemical Physics Studies
411 works271,520 citations
3
Yann LeCun · Domain Adaptation and Few-Shot Learning
484 works252,968 citations
4
H. Eugene Stanley · Theoretical and Computational Physics
1,960 works197,208 citations
5
Michael I. Jordan · Bayesian Methods and Mixture Models
1,194 works182,015 citations

Where is Advanced Graph Neural Networks research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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