Priyesh Vijayan
Priyesh Vijayan
PhD student, McGill University & Mila
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Fusion graph convolutional networks
P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran
arXiv preprint arXiv:1805.12528, 2018
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
Scaling Graph Propagation Kernels for Predictive Learning
P Vijayan, Y Chandak, MM Khapra, S Parthasarathy, B Ravindran
Frontiers in Big Data 5, 2022
On incorporating structural information to improve dialogue response generation
N Moghe, P Vijayan, B Ravindran, MM Khapra
arXiv preprint arXiv:2005.14315, 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
User categorization in communications networks
S Shivashankar, P Vijayan
US Patent App. 14/182,337, 2015
Incremental Knowledge Graphs
P Vijayan
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Articles 1–15