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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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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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06/25/2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Graph convolutional networks (GCNs) have achieved huge success in severa...
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11/17/2022
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning
Graph representation learning models have been deployed for making decis...
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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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06/04/2022
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
Session-based recommendation aims to generate recommendations for the ne...
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05/21/2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Graph Convolutional Networks (GCN) can efficiently integrate graph struc...
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04/27/2022
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus
The UMLS Metathesaurus integrates more than 200 biomedical source vocabu...
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01/27/2022
FairMod: Fair Link Prediction and Recommendation via Graph Modification
As machine learning becomes more widely adopted across domains, it is cr...
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10/05/2021
Semi-Supervised Deep Learning for Multiplex Networks
Multiplex networks are complex graph structures in which a set of entiti...
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09/29/2021
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
Existing work on making privacy policies accessible has explored new pre...
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07/13/2021
Fairness-aware Summarization for Justified Decision-Making
In many applications such as recidivism prediction, facility inspection,...
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04/01/2021
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets
Darknet market forums are frequently used to exchange illegal goods and ...
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03/29/2021
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
Opioid and substance misuse is rampant in the United States today, with ...
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02/11/2021
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Identifying driving styles is the task of analyzing the behavior of driv...
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02/01/2021
A Tight Bound for Stochastic Submodular Cover
We show that the Adaptive Greedy algorithm of Golovin and Krause (2011) ...
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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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07/05/2020
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Traditional relational databases contain a lot of latent semantic inform...
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04/08/2020
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
Visual Question Answering (VQA) systems are tasked with answering natura...
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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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02/18/2020
Transfer Learning for Abstractive Summarization at Controllable Budgets
Summarizing a document within an allocated budget while maintaining its ...
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01/27/2020
Towards Quantifying the Distance between Opinions
Increasingly, critical decisions in public policy, governance, and busin...
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11/22/2019
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Routing newly posted questions (a.k.a cold questions) to potential answe...
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09/20/2019
Automatic Table completion using Knowledge Base
Table is a popular data format to organize and present relational inform...
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09/19/2019
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Reducing traffic accidents is an important public safety challenge, ther...
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06/12/2019
A Countrywide Traffic Accident Dataset
Reducing traffic accidents is an important public safety challenge. Howe...
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06/12/2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Motivation: Graph embedding learning which aims to automatically learn l...
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05/02/2019
Network Representation Learning: Consolidation and Renewed Bearing
Graphs are a natural abstraction for many problems where nodes represent...
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04/17/2019
Towards Open Intent Discovery for Conversational Text
Detecting and identifying user intent from text, both written and spoken...
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04/16/2019
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is a key kernel for unsupervised...
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02/14/2019
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data
Pattern discovery in geo-spatiotemporal data (such as traffic and weathe...
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12/28/2018
Hypergraph Clustering: A Modularity Maximization Approach
Clustering on hypergraphs has been garnering increased attention with po...
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11/02/2018
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Directed graphs have been widely used in Community Question Answering se...
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07/02/2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Routing questions in Community Question Answer services (CQAs) such as S...
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03/31/2018
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites
In this paper, we present a framework for Question Difficulty and Expert...
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03/20/2018
An analysis of the Greedy Algorithm for Stochastic Set Cover
We show that the approximation ratio of the greedy algorithm for the sto...
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02/26/2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
Recently there has been a surge of interest in designing graph embedding...
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11/06/2017
Adaptive Bayesian Sampling with Monte Carlo EM
We present a novel technique for learning the mass matrices in samplers ...
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09/29/2017
Foresight: Rapid Data Exploration Through Guideposts
Current tools for exploratory data analysis (EDA) require users to manua...
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09/12/2017
Multimodal Content Analysis for Effective Advertisements on YouTube
The rapid advances in e-commerce and Web 2.0 technologies have greatly i...
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07/12/2017
Foresight: Recommending Visual Insights
Current tools for exploratory data analysis (EDA) require users to manua...
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05/20/2017
Fast Change Point Detection on Dynamic Social Networks
A number of real world problems in many domains (e.g. sociology, biology...
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05/17/2017
REMIX: Automated Exploration for Interactive Outlier Detection
Outlier detection is the identification of points in a dataset that do n...
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07/28/2016
Robust Contextual Outlier Detection: Where Context Meets Sparsity
Outlier detection is a fundamental data science task with applications r...
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10/06/2011