mlsanityData to 7 Oct 2026

Conformal Load Prediction with Transductive Graph Autoencoders

arXiv 2406.08281 ↗First posted 12 Jun 2024cs.LG stat.MLcited by 11

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Abstract (arXiv)

Predicting edge weights on graphs has various applications, from transportation systems to social networks. This paper describes a Graph Neural Network (GNN) approach for edge weight prediction with guaranteed coverage. We leverage conformal prediction to calibrate the GNN outputs and produce valid prediction intervals. We handle data heteroscedasticity through error reweighting and Conformalized Quantile Regression (CQR). We compare the performance of our method against baseline techniques on real-world transportation datasets. Our approach has better coverage and efficiency than all baselines and showcases robustness and adaptability.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 28 of its 57 references that are in the map. First posted on arXiv 12 Jun 2024.

Builds on

28 of 57 references.

References · 28

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  2. 2017Graph Attention Networkscited by 8,854
  3. 2017Inductive Representation Learning on Large Graphscited by 6,284
  4. 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,416
  5. 2016Variational Graph Auto-Encoderscited by 1,373
  6. 2018Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networkscited by 878
  7. 2018Link Prediction Based on Graph Neural Networkscited by 829
  8. 2016Distribution-Free Predictive Inference For Regressioncited by 657
  9. 2019Conformalized Quantile Regressioncited by 620
  10. 2019Conformal Prediction Under Covariate Shiftcited by 511
  11. 2020Classification with Valid and Adaptive Coveragecited by 390
  12. 2021Adaptive Conformal Inference Under Distribution Shiftcited by 360
16 more
  1. 2022Conformal prediction beyond exchangeabilitycited by 348
  2. 2021Graph Neural Network for Traffic Forecasting: A Surveycited by 260
  3. 2018Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecastingcited by 145
  4. 2021Localized Conformal Prediction: A Generalized Inference Framework for Conformal Predictioncited by 112
  5. 2023Uncertainty Quantification over Graph with Conformalized Graph Neural Networkscited by 79
  6. 2019A comparison of some conformal quantile regression methodscited by 76
  7. 2018NeVAE: A Deep Generative Model for Molecular Graphscited by 66
  8. 2014Regression Conformal Prediction with Nearest Neighbourscited by 59
  9. 2021Variational Graph Normalized Auto-Encoderscited by 29
  10. 2022Distribution Free Prediction Sets for Node Classificationcited by 28
  11. 2022Directed Graph Auto-Encoderscited by 22
  12. 2014Network Cross-Validation for Determining the Number of Communities in Network Datacited by 21
  13. 2021Anomalous Edge Detection in Edge Exchangeable Social Network Modelscited by 17
  14. 2022Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chainscited by 8
  15. 2023Spatial Heterophily Aware Graph Neural Networkscited by 7
  16. 2020Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Predictioncited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 5; 2026: 1.

11 papers.

  1. 2024Trustworthy Classification through Rank-Based Conformal Prediction Setscited by 20
  2. 2024Weighted Aggregation of Conformity Scores for Classificationcited by 11
  3. 2024Conformal Thresholded Intervals for Efficient Regressioncited by 11
  4. 2024Entropy Reweighted Conformal Classificationcited by 8
  5. 2024Conformalized Interval Arithmetic with Symmetric Calibrationcited by 8
  6. 2025Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regressioncited by 6
  7. 2025Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliabilitycited by 6
  8. 2025Enhanced Route Planning with Calibrated Uncertainty Setcited by 5
  9. 2025Conditional Conformal Risk Adaptationcited by 5
  10. 2025Residual Reweighted Conformal Prediction for Graph Neural Networkscited by 2
  11. 2026RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detectioncited by 0