Manasvi Aggarwal

According to our database, Manasvi Aggarwal authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

BiGReachFRauD: Bipartite Graph Representation Learning Using Breached Sources for Financial Fraud Detection.

Manasvi Aggarwal, Suhas Powar, Deepanshu Bagotia, Hariom Chaudhary, Yatin Katyal

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

EvenOddML: Even and Odd Aggregation with Multi-Level Contrastive Learning for Bipartite Graph.

Manasvi Aggarwal, Jahnavi Methukumalli, Deepanshu Bagotia, Suhas Powar

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2021

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Machine Learning in Social Networks - Embedding Nodes, Edges, Communities, and Graphs

Manasvi Aggarwal, M. N. Murty

Springer, ISBN: 978-981-33-4021-3, 2021

2020

Robust Hierarchical Graph Classification with Subgraph Attention.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

CoRR, 2020

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

CoRR, 2020

Region and Relations Based Multi Attention Network for Graph Classification.

Manasvi Aggarwal, M. N. Murty

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-supervised Hierarchical Graph Neural Network for Graph Representation.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020