Research Paper Report

Graph Neural Approaches to Credit Scoring: Interpretable Learning with GCN and GAT

Date of Submission
10th Feb 2026

General Information:

Year Of Paper Submission : 2024-25
Type of Applicant : Student
Selected Course : UG
Department of Applicant : COMPS
Class of Applicant : B.E.

Applicants Details:

UCID of Applicant : 2022300001
Applicant Name : Purav Ahya
Applicant Email : purav.ahya22@spit.ac.in
Applicant Contact Number : 8291092036

Guide Details:

Department of Guide No. 1 : Information Technology
Name of First Guide : Prof. Jignesh Sisodia
Department of Guide No. 2 : Information Technology
Name of Second Guide : Prof. Kailas K. Devadkar

Paper Details:

Title of Paper : Graph Neural Approaches to Credit Scoring: Interpretable Learning with GCN and GAT
Type of Paper : international
Type of Publication : international
Name of the Conference/journal/publisher : Asia Pacific Conference on Innovation in Technology (APCIT)
Date Of Conference / Journal / Book : 2011-08-19
Conference_Type : ieee
Name of the Hosting Institute of the Conference : Vidyavardhaka College of Engineering.
Address of Host Institute : P.B. No. 206, Gokulam III Stage, Mysuru - 570002, Karnataka, India
Indexed : Scopus Indexed on IEEE