Paul Krzakala
@paulkrz.bsky.social
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...
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...
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...
arxiv.org
October 16, 2025 at 1:11 PM
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...
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...
NeurIPS 2030 foreshadowing
October 15, 2025 at 4:13 PM
NeurIPS 2030 foreshadowing
Reposted by Paul Krzakala
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)
Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
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...
arxiv.org
September 29, 2025 at 8:55 AM
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)
Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
Reposted by Paul Krzakala
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
November 26, 2024 at 9:56 AM
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