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Vijay Lingam
Vijay Lingam
Bestätigte E-Mail-Adresse bei utexas.edu
Titel
Zitiert von
Zitiert von
Jahr
Hetegcn: heterogeneous graph convolutional networks for text classification
R Ragesh, S Sellamanickam, A Iyer, R Bairi, V Lingam
Proceedings of the 14th ACM international conference on web search and data …, 2021
812021
Deep learning for conflicting statements detection in text
V Lingam, S Bhuria, M Nair, D Gurpreetsingh, A Goyal, A Sureka
PeerJ Preprints, 2018
172018
ALT: towards automating driver license testing using smartphones
AU Nambi, I Mehta, A Ghosh, V Lingam, VN Padmanabhan
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 29-42, 2019
142019
Simple truncated svd based model for node classification on heterophilic graphs
V Lingam, R Ragesh, A Iyer, S Sellamanickam
KDD 2021 Workshop on Deep Learning on Graphs: Method and Applications, 2021
82021
Probing graph representations
MS Akhondzadeh, V Lingam, A Bojchevski
International Conference on Artificial Intelligence and Statistics, 11630-11649, 2023
62023
A piece-wise polynomial filtering approach for graph neural networks
V Lingam, M Sharma, C Ekbote, R Ragesh, A Iyer, S Sellamanickam
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
62022
User embedding based neighborhood aggregation method for inductive recommendation
R Ragesh, S Sellamanickam, V Lingam, A Iyer, R Bairi
arXiv preprint arXiv:2102.07575, 2021
62021
A graph convolutional network composition framework for semi-supervised classification
R Ragesh, S Sellamanickam, V Lingam, A Iyer
arXiv preprint arXiv:2004.03994, 2020
52020
Pitfalls in Evaluating GNNs under Label Poisoning Attacks
V Lingam, MS Akhondzadeh, A Bojchevski
ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023
22023
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
V Lingam, A Iyer, R Ragesh
ICLR 2021 Workshop on Geometrical and Topological Representation Learning, 2021
12021
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
V Lingam, MS Akhondzadeh, A Bojchevski
The Twelfth International Conference on Learning Representations, 2024
2024
Effective Polynomial Filter Adaptation for Graph Neural Networks
V Lingam, CA Ekbote, M Sharma, R Ragesh, A Iyer, S SELLAMANICKAM
2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
V Lingam, R Ragesh, A Iyer, S Sellamanickam
arXiv preprint arXiv:2107.13312, 2021
2021
Smartphone-based driver license testing: demo abstract
A Ghosh, V Lingam, I Mehta, AU Nambi, VN Padmanabhan, ...
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 400-401, 2019
2019
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