413 citations · 997 across the 48 of their papers we have counts for
7 papers · 1 filter
A Deep Generative Model for Molecule Optimization via One Fragment Modification
Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy +1
Molecule optimization is a critical step in drug development to improve desired properties of drug candidates through chemical modification. We developed a novel deep generative mo…
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel +3
Traditional relational databases contain a lot of latent semantic information that have largely remained untapped due to the difficulty involved in automatically extracting such in…
HPRA: Hyperedge Prediction using Resource Allocation
Tarun Kumar, K Darwin, Srinivasan Parthasarathy +1
Many real-world systems involve higher-order interactions and thus demand complex models such as hypergraphs. For instance, a research article could have multiple collaborating aut…
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt +3
Visual Question Answering (VQA) systems are tasked with answering natural language questions corresponding to a presented image. Traditional VQA datasets typically contain question…
HAM: Hybrid Associations Models for Sequential Recommendation
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy +1
Sequential recommendation aims to identify and recommend the next few items for a user that the user is most likely to purchase/review, given the user's purchase/rating trajectorie…
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi +1
Abstractive summarization at controllable lengths is a challenging task in natural language processing. It is even more challenging for domains where limited training data is avail…