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Lilapati Waikhom
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Year
A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
L Waikhom, R Patgiri
Artificial Intelligence Review 56 (7), 6295-6364, 2023
63*2023
Fake news detection using machine learning
L Waikhom, RS Goswami
Proceedings of International Conference on Advancements in Computing …, 2019
292019
A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
S Nayak, R Patgiri, L Waikhom, A Ahmed
Digital Communications and Networks, 2022
242022
Graph neural networks: Methods, applications, and opportunities, 2021
L Waikhom, R Patgiri
URL https://arxiv. org/abs/2108.10733 1, 0
5
PO-GNN: Position-observant inductive graph neural networks for position-based prediction
L Waikhom, Y Singh, R Patgiri
Information Processing & Management 60 (3), 103333, 2023
42023
Dynamic temporal position observant graph neural network for traffic forecasting
L Waikhom, R Patgiri, LD Singh
Applied Intelligence 53 (20), 23166-23178, 2023
22023
An empirical investigation on BigGraph using deep learning
L Waikhom, R Patgiri
Advances in computers 128, 107-133, 2023
22023
Recurrent convolution based graph neural network for node classification in graph structure data
L Waikhom, R Patgiri
2022 12th International Conference on Cloud Computing, Data Science …, 2022
22022
GNN-Adv: Defence Strategy from Adversarial Attack for Graph Neural Network
L Waikhom, R Patgiri
2022 IEEE Silchar Subsection Conference (SILCON), 1-7, 2022
12022
Generalized graph neural network for prediction of molecular property
L Waikhom, R Patgiri
2022 8th International Conference on Advanced Computing and Communication …, 2022
12022
Swaragram: A software toolbox for musical feature of Indian music
Y Singh, L Waikhom, A Biswas
Software Impacts 15, 100462, 2023
2023
A Survey on Bloom Filter for Multiple Sets
L Waikhom, S Nayak, R Patgiri
Modeling, Simulation and Optimization: Proceedings of CoMSO 2020, 775-789, 2021
2021
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Articles 1–12