8 citations · 14 across the 5 of their papers we have counts for
7 papers
HCPN-GCN: Scaling Hierarchical Prototype Networks with Cone Geometry for Continual Graph Learning
Sammuel R. Silva, Vander L. S. Freitas, Gladston Moreira +2
Continual Graph Learning (CGL) aims to incrementally learn from graph-structured data while preserving knowledge acquired from previous tasks. A major challenge in this setting is…
Flood risk map from hydrological and mobility data: a case study in São Paulo (Brazil)
Lívia Rodrigues Tomás, Giovanni Guarnieri Soares, Aurelienne A. S. Jorge +3
Cities increasingly face flood risk primarily due to extensive changes of the natural land cover to built-up areas with impervious surfaces. In urban areas, flood impacts come main…
Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed
Aurelienne A. S. Jorge, Iuri da Silva Diniz, Vander L. S. Freitas +2
There are several criteria for building up networks from time series related to different points in geographical space. The most used criterion is the Global-Threshold (GT). Using…
Vulnerability analysis in Complex Networks under a Flood Risk Reduction point of view
Leonardo B. L. Santos, Giovanni G. Soares, Tanishq Garg +7
The measurement and mapping of transportation network vulnerability to natural hazards constitute subjects of global interest, especially due to climate change, and for a sustainab…
Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks
Vander L. S. Freitas, Jeferson Feitosa, Catia S. N. Sepetauskas +1
Motivated by the challenge related to the COVID-19 epidemic and the seek for optimal containment strategies, we present a robustness analysis into an inter-cities mobility complex…
Search and Return Model for Stochastic Path Integrators
J. Noetel, V. L. S. Freitas, E. E. N. Macau +1
We extend a recently introduced prototypical stochastic model describing uniformly the search and return of objects looking for new food sources around a given home. The model desc…
Optimal Noise in a Stochastic Model for Local Search
J. Noetel, V. L. S. Freitas, E. E. N. Macau +1
We develop a prototypical stochastic model for local search around a given home. The stochastic dynamic model is motivated by experimental findings of the motion of a fruit fly aro…