ProfessorsProfessors of National Institute of Technology, SilcharLilapati Waikhom

Lilapati Waikhom

National Institute of Technology, Silchar

H-index: 3

Asia-India

About Lilapati Waikhom

Lilapati Waikhom, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at National Institute of Technology, Silchar, specializes in the field of Big Data, Edge Analytics, Data Structure and Algorithms, Machine Learning, Bloom Filter.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamic temporal position observant graph neural network for traffic forecasting

A survey of graph neural networks in various learning paradigms: methods, applications, and challenges

PO-GNN: Position-observant inductive graph neural networks for position-based prediction

Swaragram: A software toolbox for musical feature of Indian music

An empirical investigation on BigGraph using deep learning

GNN-Adv: Defence Strategy from Adversarial Attack for Graph Neural Network

A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications

Generalized graph neural network for prediction of molecular property

Lilapati Waikhom Information

University	National Institute of Technology, Silchar
Position	___
Citations(all)	91
Citations(since 2020)	91
Cited By	3
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	National Institute of Technology, Silchar
Google Scholar	View Google Scholar Profile

Lilapati Waikhom Skills & Research Interests

Big Data

Edge Analytics

Data Structure and Algorithms

Machine Learning

Bloom Filter

Top articles of Lilapati Waikhom

Title	Journal	Author(s)	Publication Date
Dynamic temporal position observant graph neural network for traffic forecasting	Applied Intelligence	Lilapati Waikhom Ripon Patgiri Laiphrakpam Dolendro Singh	2023/10
A survey of graph neural networks in various learning paradigms: methods, applications, and challenges		Lilapati Waikhom Ripon Patgiri	2023/7
PO-GNN: Position-observant inductive graph neural networks for position-based prediction	Information Processing & Management	Lilapati Waikhom Yeshwant Singh Ripon Patgiri	2023/5/1
Swaragram: A software toolbox for musical feature of Indian music	Software Impacts	Yeshwant Singh Lilapati Waikhom Anupam Biswas	2023/3/1
An empirical investigation on BigGraph using deep learning		Lilapati Waikhom Ripon Patgiri	2023/1/1
GNN-Adv: Defence Strategy from Adversarial Attack for Graph Neural Network		Lilapati Waikhom Ripon Patgiri	2022/11/4
A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications		Sabuzima Nayak Ripon Patgiri Lilapati Waikhom Arif Ahmed	2022/10/27
Generalized graph neural network for prediction of molecular property		Lilapati Waikhom Ripon Patgiri	2022/3/25
Recurrent convolution based graph neural network for node classification in graph structure data		Lilapati Waikhom Ripon Patgiri	2022/1/27
A Survey on Bloom Filter for Multiple Sets		Lilapati Waikhom Sabuzima Nayak Ripon Patgiri	2021