Varun R Embar
Varun R Embar
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Online topic-based social influence analysis for the wimbledon championships
VR Embar, I Bhattacharya, V Pandit, R Vaculin
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
A bayesian framework for estimating properties of network diffusions
VR Embar, RK Pasumarthi, I Bhattacharya
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Scalable structure learning for probabilistic soft logic
V Embar, D Sridhar, G Farnadi, L Getoor
arXiv preprint arXiv:1807.00973, 2018
Pattern clustering using cooperative game theory
S Dhamal, S Bhat, KR Anoop, VR Embar
arXiv preprint arXiv:1201.0461, 2012
Aligning product categories using anchor products
VR Embar, G Farnadi, J Pujara, L Getoor
First Workshop on Knowledge Base Construction, Reasoning and Mining, 2018
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage
V Embar, B Sisman, H Wei, XL Dong, C Faloutsos, L Getoor
Automated Knowledge Base Construction, 2020
A comparison of statistical relational learning and graph neural networks for aggregate graph queries
V Embar, S Srinivasan, L Getoor
Machine Learning, 1-20, 2021
Estimating Aggregate Properties In Relational Networks With Unobserved Data
V Embar, S Srinivasan, L Getoor
arXiv preprint arXiv:2001.05617, 2020
Collective Alignment of Large-scale Ontologies
V Embar, J Pujara, L Getoor
AKBC Workshop on Federated Knowledge Bases, 2020
Collective Bio-Entity Recognition in Scientific Documents using Hinge-Loss Markov Random Fields
A Miller, N Markenzon, V Embar, L Getoor
International Workshop on Mining and Learning with Graphs (MLG), 2020
Recommending form field augmentation based upon unstructured data
PS Dayama, VR Embar, V Pandit
US Patent 10,248,639, 2019
Tractable Marginal Inference for Hinge-Loss Markov Random Fields
V Embar, S Srinivasan, L Getoor
Third ICML workshop on Tractable Probabilistic Modeling, 2019
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