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Learned Data-aware Image Representations of Line Charts for Similarity Search
Summary: LineNet trains a ViT-based Triplet Autoencoder to learn data-aware line-chart embeddings from data and images; inference uses only line-chart images. Pseudo-labels and sampling guide the model to fuse data-driven and image-level similarity for efficient line-chart search.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6592
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.5414364e-05
- Overall Rank
- 8,263 | 42.58%
- DOI
-
10.1145/3588942
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 65 |
Fast Subsequence Matching in Time-Series Databases |
1994 |
SIGMOD |
0.00061977022 |
| 1,164 |
Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures |
2008 |
VLDB |
0.00013572951 |
| 3,058 |
Qetch: Time Series Querying with Expressive Sketches |
2018 |
SIGMOD |
7.6439848e-05 |
| 3,393 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.1415762e-05 |
| 3,729 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
6.8078013e-05 |
| 4,127 |
Computational Journalism: A Call to Arms to Database Researchers |
2011 |
CIDR |
6.4237059e-05 |
| 4,829 |
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks |
2021 |
SIGMOD |
5.8890126e-05 |
| 5,369 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5436995e-05 |
| 5,386 |
Selective Data Acquisition in the Wild for Model Charging |
2022 |
VLDB |
5.5346315e-05 |
| 5,493 |
DeepEye: Creating Good Data Visualizations by Keyword Search |
2018 |
SIGMOD |
5.4773922e-05 |
| 5,777 |
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines |
2020 |
SIGMOD |
5.3277177e-05 |
| 5,965 |
Automatic Data Acquisition for Deep Learning |
2021 |
VLDB |
5.2476363e-05 |
| 6,623 |
Fast-Forwarding to Desired Visualizations with zenvisage |
2017 |
CIDR |
4.984297e-05 |
| 7,580 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7023767e-05 |
| 9,224 |
VisClean: Interactive Cleaning for Progressive Visualization |
2020 |
VLDB |
4.3657563e-05 |
| 9,828 |
Sevi: Speech-to-Visualization through Neural Machine Translation |
2022 |
SIGMOD |
4.2710095e-05 |
| 13,296 |
DeepTrack: Monitoring and Exploring Spatio-Temporal Data – A Case of Tracking COVID-19 – |
2020 |
VLDB |
- |
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| 11,100 |
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VLDB |
4.1905499e-05 |