ARKAPRAVA SAHA

Assistant Professor
Institute of Library, Information and Media Science
University of Tsukuba, Japan

For a quick overview, refer to my Google Scholar and DBLP profiles. Note that in many research areas within computer science, including databases, data mining and artificial intelligence, conferences (not journals) are the primary venues for peer-reviewed publications.

Peer-Reviewed Conference Papers

• Hyperparametric Robust and Dynamic Influence Maximization [paper] [extended version] [code]. Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V.S. Lakshmanan. AAAI Conference on Artificial Intelligence (AAAI) 2025. [Acceptance Rate: 23.4% (3032/12957)]
• Most Probable Densest Subgraphs [paper] [extended version] [code]. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long. International Conference on Data Engineering (ICDE) 2023. [Acceptance Rate: 30.6% (229/748)]
• Voting-based Opinion Maximization [paper] [extended version] [code]. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V.S. Lakshmanan. International Conference on Data Engineering (ICDE) 2023. [Acceptance Rate: 30.6% (229/748)]
• Shortest Paths and Centrality in Uncertain Networks [paper] [code] [talk]. Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi. International Conference on Very Large Data Bases (VLDB) 2021. [Acceptance Rate: 24% (212/882)]

Peer-Reviewed Journal Papers

• Beyond Influence: Voting Theory for Opinion Maximization [paper]. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V.S. Lakshmanan. International Journal on Very Large Data Bases (The VLDB Journal) 34, 57 (2025). [Impact Factor: 3.8]

Peer-Reviewed Workshop Papers

• Extending Layer-wise Relevance Propagation in Neural Networks using Semiring Annotations [paper] [code]. Antoine Groudiev, Arkaprava Saha, Silviu Maniu. Provenance Week @ SIGMOD 2025.
• Reachability in Large Graphs using Bloom Filters [paper] [code]. Arkaprava Saha, Neha Sengupta, Maya Ramanath. International Workshop on Large Scale Graph Data Analytics (LSGDA) @ ICDE 2019.