Priyesh Vijayan

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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
Anasua MitraIndian Insitute of Technology GuwahatiVerified email at iitg.ac.in
Mitesh KhapraIndian Institute of Technology MadrasVerified email at cse.iitm.ac.in
K Madhava KrishnaProfessor, IIIT HyderabadVerified email at iiit.ac.in
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Harshavardhan KamarthiGeorgia Institute of TechnologyVerified email at gatech.edu
Saket GurukarStaff Researcher, Samsung Research AmericaVerified email at osu.edu
Yash ChandakPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaVerified email at cs.mcgill.ca
Shivashankar SubramanianAmazonVerified email at amazon.com
Nikita MogheStudent, University of EdinburghVerified email at ed.ac.uk
Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.Verified email at polymtl.ca

Priyesh Vijayan

PhD student, McGill University & Mila

Verified email at mail.mcgill.ca - Homepage

Reinforcement Learning Graph Representation Learning Semi-Supervised Learning Deep Learning


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Influence maximization in unknown social networks: Learning policies for effective graph sampling H Kamarthi, P Vijayan, B Wilder, B Ravindran, M Tambe International Conference on Autonomous Agents and MultiAgent Systems, 575–583, 2020	56	2020
Ego-gnns: Exploiting ego structures in graph neural networks D Sandfelder, P Vijayan, WL Hamilton ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	31	2021
Understanding dynamic scenes using graph convolution networks S Mylavarapu, M Sandhu, P Vijayan, KM Krishna, B Ravindran, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	31	2020
Towards accurate vehicle behaviour classification with multi-relational graph convolutional networks S Mylavarapu, M Sandhu, P Vijayan, KM Krishna, B Ravindran, ... 2020 IEEE Intelligent Vehicles Symposium (IV), 321-327, 2020	30	2020
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ... Transactions on Machine Learning Research, 2022	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
Grid Scheduling using Improved Particle Swarm Optimization with Digital Pheromones S Chandar, P Vijayan, D Doreen Hephzibah Miriam International Journal of Scientific & Engineering Research 3 (6), 1-6, 2012	13	2012
Multi-label collective classification in multi-attribute multi-relational network data P Vijayan, S Subramanian, B Ravindran 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014	11	2014
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
Fusion graph convolutional networks P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran arXiv preprint arXiv:1805.12528, 2018	10	2018
On incorporating structural information to improve dialogue response generation N Moghe, P Vijayan, B Ravindran, MM Khapra arXiv preprint arXiv:2005.14315, 2020	8	2020
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
Generative Active Learning for the Search of Small-molecule Protein Binders M Korablyov, CH Liu, M Jain, AM van der Sloot, E Jolicoeur, E Ruediger, ... arXiv preprint arXiv:2405.01616, 2024	4	2024
Scaling Graph Propagation Kernels for Predictive Learning P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran Frontiers in Big Data 5, 2022	4*	2022
User categorization in communications networks S Shivashankar, P Vijayan US Patent App. 14/182,337, 2015	2	2015
Incremental Knowledge Graphs P Vijayan

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