| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 876 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015660534 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 2,025 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.7477788e-05 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 2,758 |
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching |
2020 |
SIGMOD |
8.1668285e-05 |
| 3,057 |
ZeroER: Entity Resolution using Zero Labeled Examples |
2020 |
SIGMOD |
7.6458287e-05 |
| 3,397 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1386386e-05 |
| 3,469 |
Deep Learning for Blocking in Entity Matching: A Design Space Exploration |
2021 |
VLDB |
7.0629476e-05 |
| 3,658 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
6.8700949e-05 |
| 3,716 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
6.8170433e-05 |
| 3,765 |
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins |
2022 |
VLDB |
6.7760748e-05 |
| 3,917 |
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs |
2020 |
VLDB |
6.6268463e-05 |
| 4,023 |
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching |
2023 |
VLDB |
6.5181292e-05 |
| 4,211 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
6.3495931e-05 |
| 4,273 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2932217e-05 |
| 4,354 |
LargeEA: Aligning Entities for Large-scale Knowledge Graphs |
2022 |
VLDB |
6.2534656e-05 |
| 4,592 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.056004e-05 |
| 4,701 |
Medical Entity Disambiguation Using Graph Neural Networks |
2021 |
SIGMOD |
5.9797526e-05 |
| 4,837 |
Entity Resolution with Hierarchical Graph Attention Networks |
2022 |
SIGMOD |
5.8835638e-05 |
| 5,022 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
5.7479778e-05 |
| 5,034 |
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations |
2022 |
VLDB |
5.741974e-05 |
| 5,089 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7017353e-05 |
| 5,214 |
Dual-Objective Fine-Tuning of BERT for Entity Matching |
2021 |
VLDB |
5.6236713e-05 |
| 5,289 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5790771e-05 |
| 5,388 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5342724e-05 |
| 5,872 |
Demonstration of Panda: A Weakly Supervised Entity Matching System |
2021 |
VLDB |
5.2908178e-05 |
| 5,974 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
5.2458154e-05 |
| 6,047 |
MDedup: Duplicate Detection with Matching Dependencies |
2020 |
VLDB |
5.2355891e-05 |
| 6,225 |
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems |
2021 |
VLDB |
5.1425119e-05 |
| 6,404 |
Explaining Link Prediction Systems based on Knowledge Graph Embeddings |
2022 |
SIGMOD |
5.0714769e-05 |
| 6,552 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0109216e-05 |
| 6,558 |
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis |
2023 |
VLDB |
5.0060112e-05 |
| 6,570 |
Domain Adaptation for Deep Entity Resolution |
2022 |
SIGMOD |
5.0017341e-05 |
| 6,691 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
4.9573939e-05 |
| 6,696 |
Analyzing How BERT Performs Entity Matching |
2022 |
VLDB |
4.9542861e-05 |
| 6,750 |
Entity Matching Meets Data Science: A Progress Report from the Magellan Project |
2019 |
SIGMOD |
4.936137e-05 |
| 7,135 |
Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching |
2023 |
VLDB |
4.8171662e-05 |
| 7,187 |
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs) |
2019 |
VLDB |
4.8020046e-05 |
| 7,241 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
VLDB |
4.7867685e-05 |
| 7,614 |
ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation |
2020 |
VLDB |
4.6916018e-05 |
| 7,930 |
Entity Resolution On-Demand |
2022 |
VLDB |
4.6089604e-05 |
| 8,094 |
FlexER: Flexible Entity Resolution for Multiple Intents |
2023 |
SIGMOD |
4.5840579e-05 |
| 8,158 |
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation |
2022 |
VLDB |
4.5701678e-05 |
| 8,340 |
Deep Learning: Systems and Responsibility |
2021 |
SIGMOD |
4.5381546e-05 |
| 8,401 |
DADER: Hands-Off Entity Resolution with Domain Adaptation |
2022 |
VLDB |
4.5176737e-05 |