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ORCIDPriyesh Vijayan
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2020 – today
- 2024
[i10]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:
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024)- 2022
- [j2]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran:
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5: 616617 (2022) - [j1]Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel:
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM 2022: 358-367 - 2021
- [c7]Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton:
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. ICASSP 2021: 8523-8527 - [c6]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. KDD 2021: 1234-1244 - [i9]Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton:
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. CoRR abs/2107.10957 (2021) - [i8]Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Semi-Supervised Deep Learning for Multiplex Networks. CoRR abs/2110.02038 (2021) - 2020
- [c5]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. AAMAS 2020: 575-583 - [c4]Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Understanding Dynamic Scenes using Graph Convolution Networks. IROS 2020: 8279-8286 - [c3]Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. IV 2020: 321-327 - [c2]Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran:
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM 2020: 487-495 - [i7]Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. CoRR abs/2002.00786 (2020) - [i6]Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Understanding Dynamic Scenes using Graph Convolution Networks. CoRR abs/2005.04437 (2020) - [i5]Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra:
On Incorporating Structural Information to improve Dialogue Response Generation. CoRR abs/2005.14315 (2020)
2010 – 2019
- 2019
- [i4]Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy:
Network Representation Learning: Consolidation and Renewed Bearing. CoRR abs/1905.00987 (2019) - [i3]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Learning policies for Social network discovery with Reinforcement learning. CoRR abs/1907.11625 (2019) - 2018
- [i2]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
HOPF: Higher Order Propagation Framework for Deep Collective Classification. CoRR abs/1805.12421 (2018) - [i1]Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran:
Fusion Graph Convolutional Networks. CoRR abs/1805.12528 (2018) - 2014
- [c1]Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran:
Multi-label collective classification in multi-attribute multi-relational network data. ASONAM 2014: 509-514
Coauthor Index
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