21 citations · 58 across the 9 of their papers we have counts for
14 papers
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
Chandan K. Reddy, Lluís Màrquez, Fran Valero +6
Improving the quality of search results can significantly enhance users experience and engagement with search engines. In spite of several recent advancements in the fields of mach…
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai +1
Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice…
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam
Microservices are becoming the defacto design choice for software architecture. It involves partitioning the software components into finer modules such that the development can ha…
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
Anoushka Vyas, Sambaran Bandyopadhyay
Soil moisture is an important component of precision agriculture as it directly impacts the growth and quality of vegetation. Forecasting soil moisture is essential to schedule the…
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
Sambaran Bandyopadhyay, Vishal Peter
Graph neural networks (GNNs) are able to achieve promising performance on multiple graph downstream tasks such as node classification and link prediction. Comparatively lesser work…
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. N. Murty
Network (or graph) embedding is the task to map the nodes of a graph to a lower dimensional vector space, such that it preserves the graph properties and facilitates the downstream…