100 citations · 206 across the 21 of their papers we have counts for
21 papers
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models
Ziqi Chen, Bo Peng, Srinivasan Parthasarathy +1
Ligand-based drug design aims to identify novel drug candidates of similar shapes with known active molecules. In this paper, we formulated an in silico shape-conditioned molecule…
Precision Anti-Cancer Drug Selection via Neural Ranking
Vishal Dey, Xia Ning
Personalized cancer treatment requires a thorough understanding of complex interactions between drugs and cancer cell lines in varying genetic and molecular contexts. To address th…
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Sequential recommendation aims to recommend the next item of users' interest based on their historical interactions. Recently, the self-attention mechanism has been adapted for seq…
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy +1
Session-based recommendation aims to generate recommendations for the next item of users' interest based on a given session. In this manuscript, we develop prospective preference e…
Improving Compound Activity Classification via Deep Transfer and Representation Learning
Vishal Dey, Raghu Machiraju, Xia Ning
Recent advances in molecular machine learning, especially deep neural networks such as Graph Neural Networks (GNNs) for predicting structure activity relationships (SAR) have shown…
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers +1
Collaborative recommendation approaches based on nearest-neighbors are still highly popular today due to their simplicity, their efficiency, and their ability to produce accurate a…