Priyesh Vijayan

20 papers A* 2A 3B 1C 1Misc 1Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Generative Active Learning for the Search of Small-molecule Protein Binders.
CoRR
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
2022 J jnl
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.
Trans. Mach. Learn. Res.
Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
2022 A* conf
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective.
ICDM
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2022 J jnl
Scaling Graph Propagation Kernels for Predictive Learning.
Frontiers Big Data
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
2021 Misc conf
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.
ICASSP
Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton
2021 J jnl
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks.
CoRR
Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton
2021 A* conf
Semi-Supervised Deep Learning for Multiplex Networks.
KDD
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2021 J jnl
Semi-Supervised Deep Learning for Multiplex Networks.
CoRR
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2020 A conf
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs.
SDM
Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
2020 A conf
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.
AAMAS
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2020 J jnl
On Incorporating Structural Information to improve Dialogue Response Generation.
CoRR
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra
2020 C conf
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks.
IV
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020 J jnl
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks.
CoRR
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020 A conf
Understanding Dynamic Scenes using Graph Convolution Networks.
IROS
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020 J jnl
Understanding Dynamic Scenes using Graph Convolution Networks.
CoRR
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2019 J jnl
Learning policies for Social network discovery with Reinforcement learning.
CoRR
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2019 J jnl
Network Representation Learning: Consolidation and Renewed Bearing.
CoRR
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
2018 J jnl
Fusion Graph Convolutional Networks.
CoRR
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2018 J jnl
HOPF: Higher Order Propagation Framework for Deep Collective Classification.
CoRR
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2014 B conf
Multi-label collective classification in multi-attribute multi-relational network data.
ASONAM
Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran