| 221 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033121824 |
| 333 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027206884 |
| 517 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021169035 |
| 754 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017117211 |
| 884 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015654004 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010109102 |
| 2,057 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.6624862e-05 |
| 2,349 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9876423e-05 |
| 2,587 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4924618e-05 |
| 2,767 |
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching |
2020 |
SIGMOD |
8.1513883e-05 |
| 3,140 |
ZeroER: Entity Resolution using Zero Labeled Examples |
2020 |
SIGMOD |
7.4841763e-05 |
| 3,396 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1455126e-05 |
| 3,640 |
Deep Learning for Blocking in Entity Matching: A Design Space Exploration |
2021 |
VLDB |
6.8891671e-05 |
| 3,658 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
6.8704209e-05 |
| 3,711 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
6.823609e-05 |
| 3,915 |
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs |
2020 |
VLDB |
6.6332294e-05 |
| 3,942 |
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins |
2022 |
VLDB |
6.6114622e-05 |
| 4,018 |
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching |
2023 |
VLDB |
6.5244015e-05 |
| 4,212 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
6.3555142e-05 |
| 4,278 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2953764e-05 |
| 4,355 |
LargeEA: Aligning Entities for Large-scale Knowledge Graphs |
2022 |
VLDB |
6.259483e-05 |
| 4,593 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.0606891e-05 |
| 4,703 |
Medical Entity Disambiguation Using Graph Neural Networks |
2021 |
SIGMOD |
5.9855056e-05 |
| 4,837 |
Entity Resolution with Hierarchical Graph Attention Networks |
2022 |
SIGMOD |
5.8892326e-05 |
| 5,024 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
5.7535043e-05 |
| 5,088 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7072189e-05 |
| 5,282 |
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations |
2022 |
VLDB |
5.5864206e-05 |
| 5,371 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5428776e-05 |
| 5,434 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5045402e-05 |
| 5,533 |
Dual-Objective Fine-Tuning of BERT for Entity Matching |
2021 |
VLDB |
5.4544359e-05 |
| 5,869 |
Demonstration of Panda: A Weakly Supervised Entity Matching System |
2021 |
VLDB |
5.2959029e-05 |
| 5,978 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
5.2453012e-05 |
| 6,042 |
MDedup: Duplicate Detection with Matching Dependencies |
2020 |
VLDB |
5.2405269e-05 |
| 6,228 |
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems |
2021 |
VLDB |
5.1470042e-05 |
| 6,408 |
Explaining Link Prediction Systems based on Knowledge Graph Embeddings |
2022 |
SIGMOD |
5.0763482e-05 |
| 6,553 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0157344e-05 |
| 6,569 |
Domain Adaptation for Deep Entity Resolution |
2022 |
SIGMOD |
5.0065379e-05 |
| 6,690 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
4.9621556e-05 |
| 6,711 |
Analyzing How BERT Performs Entity Matching |
2022 |
VLDB |
4.9517546e-05 |
| 6,747 |
Entity Matching Meets Data Science: A Progress Report from the Magellan Project |
2019 |
SIGMOD |
4.9408824e-05 |
| 7,052 |
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis |
2023 |
VLDB |
4.8497453e-05 |
| 7,185 |
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs) |
2019 |
VLDB |
4.8066159e-05 |
| 7,243 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
VLDB |
4.7913666e-05 |
| 7,613 |
ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation |
2020 |
VLDB |
4.6961059e-05 |
| 8,008 |
Entity Resolution On-Demand |
2022 |
VLDB |
4.6067684e-05 |
| 8,099 |
Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching |
2023 |
VLDB |
4.5859317e-05 |
| 8,153 |
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation |
2022 |
VLDB |
4.574554e-05 |
| 8,346 |
Deep Learning: Systems and Responsibility |
2021 |
SIGMOD |
4.5420668e-05 |
| 8,406 |
DADER: Hands-Off Entity Resolution with Domain Adaptation |
2022 |
VLDB |
4.5220083e-05 |
| 8,436 |
A Critical Re-evaluation of Neural Methods for Entity Alignment |
2022 |
VLDB |
4.5138915e-05 |