papers
Publications (10)
q-bio.BM2024
Generative Active Learning for the Search of Small-molecule Protein Binders
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain +31
cs.CL2020
On Incorporating Structural Information to improve Dialogue Response Generation
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran +1
cs.CV2020
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan +3
cs.LG2018
HOPF: Higher Order Propagation Framework for Deep Collective Classification
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra +2
cs.LG2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton
cs.LG2018
Fusion Graph Convolutional Networks
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra +2
cs.CV2020
Understanding Dynamic Scenes using Graph Convolution Networks
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan +3
cs.LG2021
Semi-Supervised Deep Learning for Multiplex Networks
Anasua Mitra, Priyesh Vijayan, Ranbir Sanasam +3
cs.SI2020
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder +2
cs.LG2019
Network Representation Learning: Consolidation and Renewed Bearing
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9