Synthesis and machine learning for heterogeneous extraction. - Arun Iyer; Manohar Jonnalagedda; Suresh Parthasarathy; Arjun Radhakrishna; Sriram K. Rajamani (PLDI, 2019)

A Graph Convolutional Network Composition Framework for Semi-supervised Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer (CoRR, 2020)

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Arun Iyer; Ramakrishna Bairi; Vijay Lingam (WSDM, 2021)

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer; Ramakrishna Bairi (CoRR, 2021)

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. - Vijay Lingam; Arun Iyer; Rahul Ragesh (CoRR, 2021)

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

Jigsaw: Large Language Models meet Program Synthesis. - Naman Jain; Skanda Vaidyanath; Arun Iyer; Nagarajan Natarajan; Suresh Parthasarathy; Sriram K. Rajamani; Rahul Sharma 001 (ICSE, 2022)

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. - Vijay Lingam; Manan Sharma; Chanakya Ekbote; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (ECML/PKDD (2), 2022)

Landmarks and regions: a robust approach to data extraction. - Suresh Parthasarathy; Lincy Pattanaik; Anirudh Khatry; Arun Iyer; Arjun Radhakrishna; Sriram K. Rajamani; Mohammad Raza (PLDI, 2022)

Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph. - Yash Kumar Atri; Arun Iyer; Tanmoy Chakraborty 002; Vikram Goyal (EMNLP, 2023)

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. - Chanakya Ekbote; Ajinkya Pankaj Deshpande; Arun Iyer; Sundararajan Sellamanickam; Ramakrishna Bairi (NeurIPS, 2023)

Sensing Timing Margin Contingencies in the Programmable Fabric of FPGAs. - Arun Iyer; Nishant Pawar; Dinesh Gaitonde; Nanditha Rao (ICFPT, 2024)

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. - Ajinkya Pankaj Deshpande; Anmol Agarwal; Shashank Shet; Arun Iyer; Aditya Kanade 001; Ramakrishna Bairi; Suresh Parthasarathy (CoRR, 2024)

STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack. - Naman Gupta; Shashank Kirtania; Priyanshu Gupta; Krishna K. Mehra; Sumit Gulwani; Arun Iyer; Suresh Parthasarathy; Arjun Radhakrishna; Sriram K. Rajamani; Gustavo Soares (CoRR, 2024)

CodePlan: Repository-Level Coding using LLMs and Planning. - Ramakrishna Bairi; Atharv Sonwane; Aditya Kanade 001; Vageesh D. C.; Arun Iyer; Suresh Parthasarathy; Sriram K. Rajamani; Balasubramanyan Ashok; Shashank Shet (Proc. ACM Softw. Eng., 2024)