4 papers
FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
Sujan Chakraborty, Rahul Bordoloi, Anindya Sengupta +2
Graph-based learning is a cornerstone for analyzing structured data, with node classification as a central task. However, in many real-world graphs, nodes lack informative feature…
Fully stabilized Minkowski vacua in the Landau-Ginzburg model
Muthusamy Rajaguru, Anindya Sengupta, Timm Wrase
We study moduli stabilization via fluxes in the Landau-Ginzburg model. Fluxes not only give masses to scalar fields but can also induce higher order couplings that stabilize…
Stabilizing massless fields with fluxes in Landau-Ginzburg models
Katrin Becker, Muthusamy Rajaguru, Anindya Sengupta +2
Recent work on flux compactifications suggests that the tadpole constraint generically allows only a limited number of complex structure moduli to become massive, i.e., be stabiliz…
Tadpole conjecture in non-geometric backgrounds
Katrin Becker, Nathan Brady, Mariana Graña +3
Calabi-Yau compactifications have typically a large number of complex structure and/or Kähler moduli that have to be stabilised in phenomenologically-relevant vacua. The former ca…