DeTox-Fed uses federated graph neural networks on local conversation graphs to detect toxic discussions in the Fediverse while keeping all raw data and labels on individual instances.
Hagberg and Daniel A
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
DFTB models for cerium allotropes were created that accurately predict band structures and energetic ordering by globally optimizing confining potentials to fit minimal DFT data and extract a many-body repulsive term.
citing papers explorer
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DeTox-Fed: Detecting Toxic Conversations in the Fediverse with Federated Graph Neural Networks
DeTox-Fed uses federated graph neural networks on local conversation graphs to detect toxic discussions in the Fediverse while keeping all raw data and labels on individual instances.
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Determination of Density Functional Tight Binding Models for Cerium Allotropes
DFTB models for cerium allotropes were created that accurately predict band structures and energetic ordering by globally optimizing confining potentials to fit minimal DFT data and extract a many-body repulsive term.