Srikanta Bedathur

About Srikanta Bedathur

Srikanta Bedathur, With an exceptional h-index of 24 and a recent h-index of 13 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Databases, Information Retrieval, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generative modeling of labeled graphs under data scarcity

Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows

Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives

Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion

Teaching Old DB Neu (ral) Tricks: Learning Embeddings on Multi-tabular Databases

DetAIL: a tool to automatically detect and analyze drift in language

Diffusion-Guided Counterfactual Generation for Model Explainability

GSHOT: Few-shot Generative Modeling of Labeled Graphs

Srikanta Bedathur Information

University

Position

___

Citations(all)

2298

Citations(since 2020)

827

Cited By

1771

hIndex(all)

24

hIndex(since 2020)

13

i10Index(all)

48

i10Index(since 2020)

24

Email

University Profile Page

Indian Institute of Technology Delhi

Google Scholar

View Google Scholar Profile

Srikanta Bedathur Skills & Research Interests

Databases

Information Retrieval

Data Mining

Top articles of Srikanta Bedathur

Title

Journal

Author(s)

Publication Date

Generative modeling of labeled graphs under data scarcity

Sahil Manchanda

Shubham Gupta

Sayan Ranu

Srikanta J Bedathur

2024/4/17

Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows

ACM Transactions on Intelligent Systems and Technology

Vinayak Gupta

Srikanta Bedathur

2023/7/13

Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives

Shubham Gupta

Srikanta Bedathur

2024/1/4

Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion

arXiv preprint arXiv:2312.13616

Nishtha Madaan

Srikanta Bedathur

2023/12/21

Teaching Old DB Neu (ral) Tricks: Learning Embeddings on Multi-tabular Databases

Garima Gaur

Rajat Singh

Siddhant Arora

Vinayak Gupta

Srikanta Bedathur

2023/1/4

DetAIL: a tool to automatically detect and analyze drift in language

Proceedings of the AAAI Conference on Artificial Intelligence

Nishtha Madaan

Adithya Manjunatha

Hrithik Nambiar

Aviral Goel

Harivansh Kumar

...

2023/6/26

Diffusion-Guided Counterfactual Generation for Model Explainability

Nishtha Madaan

Srikanta Bedathur

2023/10/27

GSHOT: Few-shot Generative Modeling of Labeled Graphs

arXiv preprint arXiv:2306.03480

Sahil Manchanda

Shubham Gupta

Sayan Ranu

Srikanta Bedathur

2023/6/6

Iitdli: Legal case retrieval based on lexical models

Workshop of the tenth competition on legal information extraction/entailment (COLIEE’2023) in the 19th international conference on artificial intelligence and law (ICAIL)

Rohan Debbarma

Pratik Prawar

Abhijnan Chakraborty

Srikanta Bedathur

2023

Data-Dependent Generalization Bounds for Neural Networks with ReLU

Transactions on Machine Learning Research

Harsh Pandey

Amitabha Bagchi

Srikanta J Bedathur

Arindam Bhattacharya

2023/8/29

Embeddings for Tabular Data: A Survey

arXiv preprint arXiv:2302.11777

Rajat Singh

Srikanta Bedathur

2023/2/23

Evaluating Cross-modal Generative Models Using Retrieval Task

Shivangi Bithel

Srikanta Bedathur

2023/7/19

Counterfactual sentence generation with plug-and-play perturbation

Nishtha Madaan

Diptikalyan Saha

Srikanta Bedathur

2023/2/8

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing

arXiv preprint arXiv:2307.09613

Vinayak Gupta

Srikanta Bedathur

Abir De

2023/7/13

LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval

Dwijesh Gohil

Shivangi Bithel

Srikanta Bedathur

2023/1/4

Grafenne: learning on graphs with heterogeneous and dynamic feature sets

Shubham Gupta

Sahil Manchanda

Sayan Ranu

Srikanta J Bedathur

2023/7/3

Modeling Human Actions in Time-Stamped Activity Sequences

Vinayak Gupta

Srikanta Bedathur

2022

TransDrift: Modeling Word-Embedding Drift using Transformer

arXiv preprint arXiv:2206.08081

Nishtha Madaan

Prateek Chaudhury

Nishant Kumar

Srikanta Bedathur

2022/6/16

A survey on temporal graph representation learning and generative modeling

arXiv preprint arXiv:2208.12126

Shubham Gupta

Srikanta Bedathur

2022/8/25

User interest and influence mining in location-based social networks

Ankita Likhyani

Srikanta Bedathur

2022

See List of Professors in Srikanta Bedathur University(Indian Institute of Technology Delhi)

Co-Authors

H-index: 61
Nikos Mamoulis

Nikos Mamoulis

University of Ioannina

H-index: 60
Michalis Vazirgiannis

Michalis Vazirgiannis

École Polytechnique

H-index: 55
Thomas Neumann

Thomas Neumann

Technische Universität München

H-index: 34
Ralf Schenkel

Ralf Schenkel

Universität Trier

H-index: 21
Aparna Varde

Aparna Varde

Montclair State University

H-index: 20
Christos Tryfonopoulos

Christos Tryfonopoulos

University of Peloponnese

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