Paul Krzakala
@paulkrz.bsky.social
📤 12
📥 9
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Our latest paper “The Quest for the GRAph Level autoEncoder (GRALE)” was accepted at NeurIPS 2025!
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space. Training such a model should require solving the graph matching problem but...
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The quest for the GRAph Level autoEncoder (GRALE)
Although graph-based learning has attracted a lot of attention, graph representation learning is still a challenging task whose resolution may impact key application fields such as chemistry or biolog...
https://arxiv.org/abs/2505.22109
3 months ago
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NeurIPS 2030 foreshadowing
3 months ago
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reposted by
Paul Krzakala
qntm
10 months ago
11 November 2025.
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reposted by
Paul Krzakala
Sonia Mazelet
3 months ago
I am happy to share that our paper "Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs" was accepted at Neurips 2025 ! 🥳 Huge thanks to my co-authors
@rflamary.bsky.social
and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
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Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
Optimal transport between graphs, based on Gromov-Wasserstein and other extensions, is a powerful tool for comparing and aligning graph structures. However, solving the associated non-convex optimizat...
https://arxiv.org/abs/2506.12025
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reposted by
Paul Krzakala
Rémi Flamary
about 1 year ago
We have an accepted paper a at NeurIPS 2024 about supervised graph prediction with transformers and optimal transport loss with Paul Krzakala, Junjie Yang, Florence d’Alché-Buc, Charlotte Laclau and Matthieu Labeau. Details in 🧵
arxiv.org/pdf/2402.12269
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