Interpretable Graph Neural Networks for Tabular Data · HackerPapers discussions

Interpretable Graph Neural Networks for Tabular Data — mentioned by westurner

Sat, 23 Nov 2024 01:18:32 GMT

From "Interpretable graph neural networks for tabular data" (2023) https://news.ycombinator.com/item?id=37269881 : > TabPFN: https://github.com/automl/TabPFN .. https://x.com/FrankRHutter/status/1583410845307977733 [2022] "TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second" (2022) https://arxiv.org/abs/2308.08945 > FWIU TabPFN is Bayesian-calibrated/trained with better performance than xgboost for non-categorical data

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Interpretable Graph Neural Networks for Tabular Data — mentioned by westurner

Sat, 26 Aug 2023 17:09:25 GMT

There are multiple metrics to optimize for when optimizing. FWIU, from the diagram in the photo in the linked tweet, which is similar to a diagram on page 16 of the TabPFN paper [1], on the OpenML-CC18, TabPFN has a better ROC Receiver Operating Characteristic after 1 second than XGboost, Catboost, LightGBM, KNN, SAINT, Reg. Cocktail, and Autogluon after any amount of time, but Auto-sklearn 2.0 required 5 minutes to reach ~ROC parity with TabPFN. 1. "TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second" (May 2023) https://arxiv.org/abs/2207.01848 2.…

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Interpretable Graph Neural Networks for Tabular Data — mentioned by westurner

Sat, 26 Aug 2023 04:12:16 GMT

> At the same time, the results show that the explanations obtained from IGNNet are aligned with the true Shapley values of the features without incurring any additional computational overhead TabPFN: https://github.com/automl/TabPFN https://twitter.com/FrankRHutter/status/1583410845307977733 "TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second" (2022) https://arxiv.org/abs/2308.08945 FWIU TabPFN is Bayesian-calibrated/trained with better performance than xgboost for non-categorical data

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Interpretable Graph Neural Networks for Tabular Data — HN submission

Sat, 26 Aug 2023 02:24:50 GMT

Interpretable graph neural networks for tabular data

77 points; 5 discussion replies on HN. Paper and source history. A submission is not an endorsement.