Back to papers
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
- 6591
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.5456668e-05
- Overall Rank
- 8,268 | 42.49%
- 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 |
0.00062029383 |
| 1,161 |
Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures |
2008 |
VLDB |
0.00013585236 |
| 3,049 |
Qetch: Time Series Querying with Expressive Sketches |
2018 |
SIGMOD |
7.6513435e-05 |
| 3,393 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.1483239e-05 |
| 3,727 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
6.8141709e-05 |
| 4,157 |
Computational Journalism: A Call to Arms to Database Researchers |
2011 |
CIDR |
6.3997218e-05 |
| 4,825 |
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks |
2021 |
SIGMOD |
5.8946721e-05 |
| 5,362 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5473503e-05 |
| 5,381 |
Selective Data Acquisition in the Wild for Model Charging |
2022 |
VLDB |
5.5399508e-05 |
| 5,484 |
DeepEye: Creating Good Data Visualizations by Keyword Search |
2018 |
SIGMOD |
5.4826544e-05 |
| 5,770 |
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines |
2020 |
SIGMOD |
5.3328309e-05 |
| 5,963 |
Automatic Data Acquisition for Deep Learning |
2021 |
VLDB |
5.2526794e-05 |
| 6,624 |
Fast-Forwarding to Desired Visualizations with zenvisage |
2017 |
CIDR |
4.9890732e-05 |
| 7,575 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7068909e-05 |
| 9,221 |
VisClean: Interactive Cleaning for Progressive Visualization |
2020 |
VLDB |
4.3699444e-05 |
| 9,829 |
Sevi: Speech-to-Visualization through Neural Machine Translation |
2022 |
SIGMOD |
4.2751057e-05 |
| 13,283 |
DeepTrack: Monitoring and Exploring Spatio-Temporal Data – A Case of Tracking COVID-19 – |
2020 |
VLDB |
- |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 6,562 |
SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data |
2022 |
VLDB |
5.0094742e-05 |
| 5,936 |
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning |
2020 |
VLDB |
5.2654071e-05 |
| 5,770 |
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines |
2020 |
SIGMOD |
5.3328309e-05 |
| 10,529 |
Revisiting CNNs for Trajectory Similarity Learning |
2025 |
VLDB |
4.1945683e-05 |
| 6,512 |
Trajectory Similarity Measurement: An Efficiency Perspective |
2024 |
VLDB |
5.0321577e-05 |
| 3,629 |
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art |
2019 |
VLDB |
6.902069e-05 |
| 10,709 |
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity |
2025 |
VLDB |
4.1945683e-05 |
| 12,016 |
Effective Multi-Modal Retrieval based on Stacked Auto-Encoders |
2014 |
VLDB |
4.1945683e-05 |
| 6,360 |
High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings |
2020 |
SIGMOD |
5.0961051e-05 |
| 11,097 |
Navigating Data Repositories: Utilizing Line Charts to Discover Relevant Datasets |
2024 |
VLDB |
4.1945683e-05 |