| 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 | 34 | 2015 |
| Scalable structure learning for probabilistic soft logic V Embar, D Sridhar, G Farnadi, L Getoor arXiv preprint arXiv:1807.00973, 2018 | 15 | 2018 |
| 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 | 14 | 2014 |
| Pattern clustering using cooperative game theory S Dhamal, S Bhat, KR Anoop, VR Embar arXiv preprint arXiv:1201.0461, 2012 | 13 | 2012 |
| D-REX: Dialogue relation extraction with explanations A Albalak, V Embar, YL Tuan, L Getoor, WY Wang arXiv preprint arXiv:2109.05126, 2021 | 12 | 2021 |
| A comparison of statistical relational learning and graph neural networks for aggregate graph queries V Embar, S Srinivasan, L Getoor Machine Learning 110 (7), 1847-1866, 2021 | 7 | 2021 |
| 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 (AKBC), 2020 | 6 | 2020 |
| Aligning product categories using anchor products VR Embar, G Farnadi, J Pujara, L Getoor First Workshop on Knowledge Base Construction, Reasoning and Mining, 2018 | 5 | 2018 |
| Think while you write: Hypothesis verification promotes faithful knowledge-to-text generation Y Qiu, V Embar, SB Cohen, B Han arXiv preprint arXiv:2311.09467, 2023 | 3 | 2023 |
| DiffXtract: Joint Discriminative Product Attribute-Value Extraction V Embar, A Kan, B Sisman, C Faloutsos, L Getoor 2021 IEEE International Conference on Big Knowledge (ICBK), 271-280, 2021 | 3 | 2021 |
| Recommending form field augmentation based upon unstructured data PS Dayama, VR Embar, V Pandit US Patent 10,248,639, 2019 | 3 | 2019 |
| Tractable marginal inference for hinge-loss markov random fields V Embar, S Srinivasan, L Getoor Third ICML workshop on Tractable Probabilistic Modeling, 2019 | 2 | 2019 |
| 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 | 1 | 2020 |
| Learning explainable templated graphical models V Embar, S Srinivasa, L Getoor Uncertainty in Artificial Intelligence, 621-630, 2022 | | 2022 |
| Inferring Local and Global Properties in Knowledge Graphs VR Embar University of California, Santa Cruz, 2021 | | 2021 |
| Estimating Aggregate Properties In Relational Networks With Unobserved Data V Embar, S Srinivasan, L Getoor arXiv preprint arXiv:2001.05617, 2020 | | 2020 |
| Collective Alignment of Large-scale Ontologies V Embar, J Pujara, L Getoor AKBC Workshop on Federated Knowledge Bases, 2020 | | 2020 |
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa Cruz在 ucsc.edu 的电子邮件经过验证
