Influential Node-Based Random Walk Graph Embedding with Graph Neural Networks in Complex Graphs-Reference-Cited by-同舟云学术

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Influential Node-Based Random Walk Graph Embedding with Graph Neural Networks in Complex Graphs

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

Chanti Suragali.¹,Angadi Anupama²,Muppidi Satish¹,Rachapudi Venubabu³

Affiliation:

1. GMR Institute of Technology,Department of CSE,Rajam,Andhrapradesh,India

2. ANIL Neerukonda Institute of Technology,Department of IT,Visakhapatnam,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram, Guntur,Andhra Pradesh,India,522302

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331702.pdf?arnumber=10331702

Reference24 articles.

1. Benchmarking graph neural networks;Dwivedi;arXiv preprint,2020

2. Learning to Identify High Betweenness Centrality Nodes from Scratch

3. Typed graph networks;Prates;arXiv preprint,2019

4. Study on centrality measures in social networks: a survey

5. How powerful are graph neural networks?;Xu;arXiv preprint,2018

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