Anasua Mitra

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Balaraman RavindranProfessor of Data Science and AI, Wadhwani School of Data Science and AI, IIT MadrasVerified email at dsai.iitm.ac.in
Srinivasan ParthasarathyProfessor of Computer Science and Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
Priyesh VijayanPhD student, McGill University & MilaVerified email at mail.mcgill.ca
Diganta GoswamiProfessor of Computer Science and Engineering, IIT GuwahatiVerified email at iitg.ernet.in
Saket GurukarStaff Researcher, Samsung Research AmericaVerified email at osu.edu
Chen CaiUC San DiegoVerified email at ucsd.edu
Pranav ManerikerDolby LaboratoriesVerified email at dolby.com
Moniba KeymaneshThe Ohio State UniversityVerified email at osu.edu
Saravana Kumar "SK"Authentic InsuranceVerified email at osu.edu
Goonmeet BajajThe Ohio State UniversityVerified email at osu.edu
Loitongbam Gyanendro SinghResearch Fellow, University of SouthamptonVerified email at soton.ac.uk
Sanasam Ranbir SinghProfessor of Computer Science and Engineering, IIT GuwahatiVerified email at iitg.ac.in
Amit AwekarIndian Institute of Technology, GuwahatiVerified email at iitg.ac.in
Priyankoo SarmahProfessor, IIT GuwahatiVerified email at iitg.ac.in
Bornali phukonPost Doctoral Research Associate , University of Illinois Urbana ChampaignVerified email at illinois.edu

Anasua Mitra

Indian Insitute of Technology Guwahati

Verified email at iitg.ac.in - Homepage

Network Representation Learning


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Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ...	28*	2022
Semi-supervised deep learning for multiplex networks A Mitra, P Vijayan, R Sanasam, D Goswami, S Parthasarathy, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	23	2021
Sentiment analysis of tweets using heterogeneous multi-layer network representation and embedding LG Singh, A Mitra, SR Singh Proceedings of the 2020 conference on empirical methods in natural language …, 2020	22	2020
Revisiting link prediction on heterogeneous graphs with a multi-view perspective A Mitra, P Vijayan, SR Singh, D Goswami, S Parthasarathy, B Ravindran 2022 IEEE International Conference on Data Mining (ICDM), 358-367, 2022	10	2022
On low overlap among search results of academic search engines A Mitra, A Awekar Proceedings of the 26th international conference on world wide web companion …, 2017	10	2017
A unified non-negative matrix factorization framework for semi supervised learning on graphs A Mitra, P Vijayan, S Parthasarathy, B Ravindran Proceedings of the 2020 SIAM International Conference on Data Mining, 487-495, 2020	8	2020
TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge B Phukon, A Mitra, R Sanasam, P Sarmah Findings of the Association for Computational Linguistics: NAACL 2022, 366-378, 2022	5	2022
Structure-Aware Network Representation Learning on Graphs A Mitra Ph.D. Dissertation, 2022		2022
Semi-supervised learning for clusterable graph embeddings with NMF P Vijayan, A Mitra, S Parthasarathy, B Ravindran NeurIPS Relational Learning Workshop, 2018		2018

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