Arun Iyer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Eigendecomposition

Top Venues

Publications

Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR (2024)
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
CodePlan: Repository-Level Coding using LLMs and Planning. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal
Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph. EMNLP (2023)
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. CoRR (2023)
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. NeurIPS (2023)
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C, Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
CodePlan: Repository-level Coding using LLMs and Planning. CoRR (2023)
Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. ECML/PKDD (2) (2022)
Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. CoRR (2021)
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. CoRR (2021)
Vijay Lingam, Arun Iyer, Rahul Ragesh
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. CoRR (2021)
Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR (2021)
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM (2021)
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. CoRR (2021)
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR (2020)
Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer
A Graph Convolutional Network Composition Framework for Semi-supervised Classification. CoRR (2020)