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2020 – today
- 2024
[j1]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): 675-698 (2024)- [i10]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 abs/2405.01573 (2024) - 2023
- [c4]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: 2154-2166 - [c3]Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi:
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. NeurIPS 2023 - [i9]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 abs/2309.12499 (2023) - [i8]Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam:
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. CoRR abs/2310.01892 (2023) - 2022
- [c2]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: 412-452 - 2021
- [c1]Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM 2021: 860-868 - [i7]Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi:
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR abs/2102.07575 (2021) - [i6]Vijay Lingam, Arun Iyer, Rahul Ragesh:
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. CoRR abs/2102.10403 (2021) - [i5]Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. CoRR abs/2106.12807 (2021) - [i4]Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. CoRR abs/2107.13312 (2021) - [i3]Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. CoRR abs/2112.03499 (2021) - 2020
- [i2]Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer:
A Graph Convolutional Network Composition Framework for Semi-supervised Classification. CoRR abs/2004.03994 (2020) - [i1]Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR abs/2008.12842 (2020)
Coauthor Index
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