The Power of Few: Dynamic Interaction Modeling in Few-Shot Learning Using Graph Neural Networks and Attention Mechanisms-Reference-Cited by-同舟云学术

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The Power of Few: Dynamic Interaction Modeling in Few-Shot Learning Using Graph Neural Networks and Attention Mechanisms

Published:2024-05-15 Issue: Volume:29 Page:1-6
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Shokeen Vikrant¹,Kumar Sandeep¹,Sharma Amit²,Azar Ahmad Taher³,Ahmad Kamal Nashwa⁴,Njima Chakib Ben⁵

Affiliation:

1. Maharaja Surajmal Institute of Technology,Department of Computer Science & Engineering,Delhi,India

2. IMS Engineering College,Ghaziabad,Uttar Pradesh,India

3. Prince Sultan University,College of Computer & Information Sciences,Riyadh,Saudi Arabia,11586

4. Cairo University,Faculty of Engineering,Giza,Egypt

5. University of Sousse,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553667.pdf?arnumber=10553667

Reference38 articles.

1. Using Machine Learning to Quantify the Multimedia Risk Due to Fuzzing

2. MLOps: A Review;Wazir,2023

3. Alternative Agriculture Land-Use Transformation Pathways by Partial-Equilibrium Agricultural Sector Model: A Mathematical Approach;Kanojia,2023

4. An analysis of the robustness of UAV agriculture field coverage using multi-agent reinforcement learning

5. Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows;Kashyap,2023

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