Srikanta Bedathur

DS Chair of Artificial Intelligence

IIT Delhi

I am an associate professor and DS Chair Professor of Artificial Intelligence at the Department of Computer Science and Engineering at IIT Delhi.

I have previously worked as a research scientist at IBM Research as part of their AI Research team, as a faculty member at IIIT Delhi, and senior researcher at the Max-Planck Institute for Informatics (MPII) with Gerhard Weikum. My PhD (2005) was from the Indian Institute of Science where I worked with Jayant Haritsa.

Interests

Large-scale graph data management
Influence Propagation and Community Formation on Location- and Activity-based Social Networks
Knowledge-bases - infrastructure, modelling and practical usage
Data wrangling - data integration, relationship discovery and visualization
Information Retrieval using KB and neural models

Education

PhD, 1998-2005

IISc
BE, 1991-1995

Bangalore University

On Summer/Winter Internship Requests

I am NOT offering any short-term projects for internships and I do not have the bandwidth to respond to requests about summer or winter internships. If you are interested in working with me, I recommend you apply for a short-term employment in one of my projects, or join the B.Tech./M.Tech./Ph.D. programs in IIT-Delhi.

Calendar

Please make an appointment based on my availability below

Working Hours: 9:30AM - 12:30PM; 2:00PM - 5:30PM

Recent Publications

More Publications

Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur. Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process. Proc. of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021.

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Vinayak Gupta, Abir De, Sourangshu Bhattacharya, Srikanta Bedathur. Learning Temporal Point Processes with Intermittent Observations (to appear). Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

Preprint

Ankita Likhyani, Vinayak Gupta, Srijith P.K., Deepak P., Srikanta Bedathur. Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes. Proc. of the 21st International Conference on Web Information Systems Engineering (WISE 2020), 2020.

Preprint

Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur. How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. Proc. of the 29th ACM Intl. Conference on Information and Knowledge Management (CIKM), 2020.

Preprint Code Slides

Siddhant Arora, Srikanta Bedathur, Maya Ramanath, Deepak Sharma. IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. Proc. of the 2nd Conference on Automated Knowledge Base Construction (AKBC), 2020.

Preprint PDF Code Dataset Slides

Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam. Knowledge Base Inference for Regular Expression Queries. CoRR, 2020.

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Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath. Aspect-based Academic Search using Domain-specific KB.. Proc. of the 42nd European Conference on Information Retrieval (ECIR), 2020.

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