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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
h53f410f69b16515a
Venue
SIGMOD
Year
2023
Pagerank
5.5510601e-05
Overall Rank
7,281 | 51.20%
DOI
10.1145/3588942

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{luo_sigmod23,
        title = {{Learned Data-aware Image Representations of Line Charts for Similarity Search}},
        author = {Luo, Yuyu and Zhou, Yihui and Tang, Nan and Li, Guoliang and Chai, Chengliang and Shen, Leixian},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588942},
        url = {https://dl.acm.org/doi/10.1145/3588942},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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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
42 Fast Subsequence Matching in Time-Series Databases 1994 SIGMOD 0.00045609336
918 Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures 2008 VLDB 0.00013051871
2,696 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 8.1068354e-05
3,110 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6228505e-05
4,070 Qetch: Time Series Querying with Expressive Sketches 2018 SIGMOD 6.8079651e-05
4,147 Computational Journalism: A Call to Arms to Database Researchers 2011 CIDR 6.765215e-05
4,345 Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks 2021 SIGMOD 6.6388774e-05
4,626 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 6.480594e-05
4,890 Selective Data Acquisition in the Wild for Model Charging 2022 VLDB 6.3508492e-05
5,601 ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines 2020 SIGMOD 6.0524822e-05
5,773 DeepEye: Creating Good Data Visualizations by Keyword Search 2018 SIGMOD 5.981599e-05
6,173 Automatic Data Acquisition for Deep Learning 2021 VLDB 5.8459104e-05
6,530 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.7368132e-05
7,064 Human-in-the-loop Outlier Detection 2020 SIGMOD 5.5930864e-05
9,510 VisClean: Interactive Cleaning for Progressive Visualization 2020 VLDB 5.1519019e-05
10,208 Sevi: Speech-to-Visualization through Neural Machine Translation 2022 SIGMOD 5.0491152e-05
13,844 DeepTrack: Monitoring and Exploring Spatio-Temporal Data - A Case of Tracking COVID-19 - 2020 VLDB -
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