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ORCIDVijay Lingam
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2020 – today
- 2024
[c6]Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski:
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR 2024- [i10]Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi:
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR abs/2405.19597 (2024) - 2023
- [c5]Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski:
Probing Graph Representations. AISTATS 2023: 11630-11649 - [i9]Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski:
Probing Graph Representations. CoRR abs/2303.03951 (2023) - 2022
- [c4]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
- [c3]Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM 2021: 860-868 - [i8]Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi:
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR abs/2102.07575 (2021) - [i7]Vijay Lingam, Arun Iyer, Rahul Ragesh:
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. CoRR abs/2102.10403 (2021) - [i6]Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. CoRR abs/2106.12807 (2021) - [i5]Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. CoRR abs/2107.13312 (2021) - [i4]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
- [i3]Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer:
A Graph Convolutional Network Composition Framework for Semi-supervised Classification. CoRR abs/2004.03994 (2020) - [i2]Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR abs/2008.12842 (2020)
2010 – 2019
- 2019
- [c2]Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, Venkata N. Padmanabhan:
ALT: towards automating driver license testing using smartphones. SenSys 2019: 29-42 - [c1]Anurag Ghosh, Vijay Lingam, Ishit Mehta, Akshay Uttama Nambi, Venkata N. Padmanabhan, Satish Sangameswaran:
Smartphone-based driver license testing: demo abstract. SenSys 2019: 400-401 - 2018
- [i1]Vijay Lingam, Simran Bhuria, Mayukh Nair, Divij Gurpreetsingh, Anjali Goyal, Ashish Sureka:
Deep learning for conflicting statements detection in text. PeerJ Prepr. 6: e26589 (2018)
Coauthor Index
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