Vijay Lingam

According to our database1, Vijay Lingam authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.
CoRR, 2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Probing Graph Representations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks.
CoRR, 2021

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs.
CoRR, 2021

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks.
CoRR, 2021

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation.
CoRR, 2021

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification.
Proceedings of the WSDM '21, 2021

2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification.
CoRR, 2020

2019
ALT: towards automating driver license testing using smartphones.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Smartphone-based driver license testing: demo abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018
Deep learning for conflicting statements detection in text.
PeerJ Prepr., 2018


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