Priyesh Vijayan

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Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasDirección de correo verificada de cse.iitm.ac.in
Srinivasan ParthasarathyProfessor of Computer Science and Engineering, The Ohio State UniversityDirección de correo verificada de cse.ohio-state.edu
Anasua MitraIndian Insitute of Technology GuwahatiDirección de correo verificada de iitg.ac.in
Mitesh KhapraIndian Institute of Technology MadrasDirección de correo verificada de cse.iitm.ac.in
K Madhava KrishnaProfessor, IIIT HyderabadDirección de correo verificada de iiit.ac.in
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchDirección de correo verificada de harvard.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Harshavardhan KamarthiGeorgia Institute of TechnologyDirección de correo verificada de gatech.edu
Yash ChandakPostdoctoral Scholar, Stanford UniversityDirección de correo verificada de stanford.edu
Saket GurukarStaff Researcher, Samsung Research AmericaDirección de correo verificada de osu.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaDirección de correo verificada de cs.mcgill.ca
Shivashankar SubramanianAmazonDirección de correo verificada de amazon.com
Nikita MogheStudent, University of EdinburghDirección de correo verificada de ed.ac.uk
Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.Dirección de correo verificada de polymtl.ca

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Priyesh Vijayan

PhD student, McGill University & Mila

Dirección de correo verificada de mail.mcgill.ca - Página principal

Reinforcement Learning Graph Representation Learning Semi-Supervised Learning Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	55	2020
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	30	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
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	29	2021
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	27*	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	21	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
Fusion graph convolutional networks P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran arXiv preprint arXiv:1805.12528, 2018	11	2018
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
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
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
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	3	2024
User categorization in communications networks S Shivashankar, P Vijayan US Patent App. 14/182,337, 2015	1	2015
Incremental Knowledge Graphs P Vijayan

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