Vasant G. Honavar

2025

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Hyperdimensional Representation Learning for Node Classification and Link Prediction.
Abhishek Dalvi|Vasant G. Honavar
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2021

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Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
Tsung-Yu Hsieh|Suhang Wang|Yiwei Sun|Vasant G. Honavar
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
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SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.
Tsung-Yu Hsieh|Yiwei Sun|Xianfeng Tang|Suhang Wang|Vasant G. Honavar
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

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Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
Yiwei Sun|Suhang Wang|Xianfeng Tang|Tsung-Yu Hsieh|Vasant G. Honavar
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality.
Aria Khademi|Sanghack Lee|David Foley|Vasant G. Honavar
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019