Vijay Lingam

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Eigendecomposition

Graph Representation

Graph Structure

Top Venues

Publications

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 (2024)
Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks. ICLR (2024)
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
Probing Graph Representations. CoRR (2023)
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski
Probing Graph Representations. AISTATS (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)
Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, Venkata N. Padmanabhan
ALT: towards automating driver license testing using smartphones. SenSys (2019)
Anurag Ghosh, Vijay Lingam, Ishit Mehta, Akshay Uttama Nambi, Venkata N. Padmanabhan, Satish Sangameswaran
Smartphone-based driver license testing: demo abstract. SenSys (2019)
Vijay Lingam, Simran Bhuria, Mayukh Nair, Divij Gurpreetsingh, Anjali Goyal, Ashish Sureka
Deep learning for conflicting statements detection in text. PeerJ Prepr. 6 (2018)