Viktor Prasanna

2025

doi dblp
Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries.
Xu Wang|Rajgopal Kannan|Viktor K. Prasanna
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2023

doi dblp
Training Heterogeneous Graph Neural Networks using Bandit Sampling.
Ta-Yang Wang|Rajgopal Kannan|Viktor K. Prasanna
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

2021

doi dblp
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings.
Hongkuan Zhou|James Orme-Rogers|Rajgopal Kannan|Viktor K. Prasanna
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2016

doi dblp
Mining Large Dense Subgraphs.
Ajitesh Srivastava|Charalampos Chelmis|Viktor K. Prasanna
Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume

2013

doi dblp
Social Link Prediction in Online Social Tagging Systems.
Charalampos Chelmis|Viktor K. Prasanna
ACM Transactions on Information Systems (TOIS) 2013 Volume 31 Issue 4

2012

doi dblp
Understanding web images by object relation network.
Na Chen|Qian-Yi Zhou|Viktor K. Prasanna
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012