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09/18/2023
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation
Learning effective recommendation models from sparse user interactions r...
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09/06/2023
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
Retrosynthesis is the process of determining the set of reactant molecul...
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08/23/2023
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models
Ligand-based drug design aims to identify novel drug candidates of simil...
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06/30/2023
Precision Anti-Cancer Drug Selection via Neural Ranking
Personalized cancer treatment requires a thorough understanding of compl...
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03/02/2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy
T cells monitor the health status of cells by identifying foreign peptid...
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09/16/2022
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation
Sequential recommendation aims to recommend the next item of users' inte...
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06/10/2022
𝖦^2𝖱𝖾𝗍𝗋𝗈: Two-Step Graph Generative Models for Retrosynthesis Prediction
Retrosynthesis is a procedure where a molecule is transformed into poten...
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06/04/2022
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
Session-based recommendation aims to generate recommendations for the ne...
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11/14/2021
Improving Compound Activity Classification via Deep Transfer and Representation Learning
Recent advances in molecular machine learning, especially deep neural ne...
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09/09/2021
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
Collaborative recommendation approaches based on nearest-neighbors are s...
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12/08/2020
Molecule Optimization via Fragment-based Generative Models
In drug discovery, molecule optimization is an important step in order t...
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12/04/2020
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction
T-cell receptors can recognize foreign peptides bound to major histocomp...
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08/25/2020
Understanding Breast Implant Illness via Social Media Data Analysis
Background: Breast implants have been increasingly popular over the last...
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08/12/2020
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering
Due to the rapid growth of information available about individual patien...
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07/19/2020
Hybrid Collaborative Filtering Models for Clinical Search Recommendation
With increasing and extensive use of electronic health records, clinicia...
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04/03/2020
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation
Next-basket recommendation considers the problem of recommending a set o...
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02/27/2020
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation
We developed a hybrid associations model (HAM) to generate sequential re...
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11/15/2019
CNN-based Dual-Chain Models for Knowledge Graph Learning
Knowledge graph learning plays a critical role in integrating domain spe...
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02/22/2019
Drug-drug interaction prediction based on co-medication patterns and graph matching
Background: The problem of predicting whether a drug combination of arbi...
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03/08/2018
Drug Recommendation toward Safe Polypharmacy
Adverse drug reactions (ADRs) induced from high-order drug-drug interact...
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01/23/2018
Drug Selection via Joint Push and Learning to Rank
Selecting the right drugs for the right patients is a primary goal of pr...
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01/17/2018
ALE: Additive Latent Effect Models for Grade Prediction
The past decade has seen a growth in the development and deployment of e...
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01/14/2016
