Advancing Open and Reproducible Relational Learning: RelArena-$α$, TabPFN-Rel and RPI · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2608.16319/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMTAdvancing Open and Reproducible Relational Learning: RelArena-$α$, TabPFN-Rel and RPI — HN submissionhttps://news.ycombinator.com/item?id=49363970urn:hackerpapers:submission:2608.16319:49363970Wed, 19 Aug 2026 16:48:15 GMT<p>Show HN: RelArena-α – open-source releases for Relational Learning</p><p>I’m happy to announce our first release in relational learning at Prior Labs, continuing our commitment to open science. Most of the data that actually matters to a business- users, transactions, sessions, orders- lives in relational databases, not in a single spreadsheet. SQL is built for backward-looking analysis: what happened, how much, when. It can&#x27;t tell you whether a given user will churn in the next 30 days. This is a relational machine learning problem: making predictions directly over the structure of a database. It&#x27;s still a young field, where results are often hard to reproduce…</p><p>4 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2608.16319/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG