#GraphLearning

Tiago F. R. Ribeirotiago_ribeiro
2025-05-07

Redução de Dimensionalidade com Grafos Ajustados Localmente

LocalMAP é um novo algoritmo de redução de dimensionalidade que ajusta dinamicamente o grafo de similaridade dos dados, tornando os ‘clusters’ mais separáveis e confiáveis, especialmente em grandes conjuntos de dados, superando limitações de métodos tradicionais.

📎arxiv.org/pdf/2412.15426
👨‍💻 github.com/williamsyy/LocalMAP

2024-11-06

Interesting paper on clustering and minimum spanning trees in the presence of weak oracles (~ noisy data). I quite like the MST approximation within a constant bound, as long as your noisy distance is a metric. PMLR 247:498-550, 2024. 'Metric Clustering and MST with Strong and Weak Distance Oracles' proceedings.mlr.press/v247/bat
#scientificcomputing #graph #graphlearning #clustering #geometry #network

2023-03-03

Looking for inspiration? Let yourself be inspired by the stunning and evocative Bertinoro. The best frame for a summer school maybe for this slide we can also find a better pic of the terrace?...
Applications for the International #SemanticWeb Research Summer School are open.

2023.semanticwebschool.org/app

#knowledgegraphs #ai #graphlearning #creativeAI #Bertinoro #nfdi #digitalhumanities

Four Sights of beautiful Bertinoro University Center (Centro Residenziale Universitario di Bertinoro), which actually is located in a Bishop's Fortress (La Rocca). The fortress was probably built around the year 1000 on several spurs of rock. The defence system comprised a strong circle of walls reinforced by four towers, a drawbridge and a series of fortified gates. The fortress also served as a prison and storehouse for food and water supplies. After playing host to Frederick Barbarossa in 1177, its walls welcomed personalities linked to the Sforza and Borgia families, until it became an Episcopal seat. In the left lower corner, you see the brilliant student team "Jedi" from the ISWS 2022 edition, who I had the pleasure to supervise.
2023-01-13

Geometric Deep Learning Grids, Groups, Graphs, Geodesics, and Gauges

arxiv.org/abs/2104.13478

#deeplearning #geometriclearning #graphs #graphlearning #gnn

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Server: https://mastodon.social
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Repository: https://github.com/cyevgeniy/lmst