mlsanityData to 14 Oct 2026

ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal

arXiv 2308.10609 ↗First posted 21 Aug 2023cs.LGcited by 5

Not on the map. Why?

Abstract (arXiv)

In this paper, we introduce ST-RAP, a novel Spatio-Temporal framework for Real estate APpraisal. ST-RAP employs a hierarchical architecture with a heterogeneous graph neural network to encapsulate temporal dynamics and spatial relationships simultaneously. Through comprehensive experiments on a large-scale real estate dataset, ST-RAP outperforms previous methods, demonstrating the significant benefits of integrating spatial and temporal aspects in real estate appraisal. Our code and dataset are available at https://github.com/dojeon-ai/STRAP.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 16 of its 37 references that are in the map. First posted on arXiv 21 Aug 2023.

Builds on

16 of 37 references.

References · 16

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  2. 2017Graph Attention Networkscited by 8,923
  3. 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,367
  4. 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,169
  5. 2021Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecastingcited by 1,676
  6. 2022Are Transformers Effective for Time Series Forecasting?cited by 1,424
  7. 2019Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecastingcited by 607
  8. 2022Transformers in Time Series: A Surveycited by 497
  9. 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecastingcited by 180
  10. 2022Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Versioncited by 59
  11. 2021MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisalcited by 20
  12. 2018Take a Look Around: Using Street View and Satellite Images to Estimate House Pricescited by 16
4 more
  1. 2017Vision-based Real Estate Price Estimationcited by 15
  2. 2022A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detectioncited by 10
  3. 2022DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Gamescited by 6
  4. 2022Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisalcited by 5

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 2; 2025: 2.

5 papers.

  1. 2025On the Performance of LLMs for Real Estate Appraisalcited by 3
  2. 2023Improving Real Estate Appraisal with POI Integration and Areal Embeddingcited by 1
  3. 2025Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Surveycited by 1
  4. 2024ARED: Argentina Real Estate Datasetcited by 0
  5. 2024Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisalcited by 0