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Found 3 papers, 2 papers with code
Distributed-Order Fractional Graph Operating Network
We introduce the Distributed-order fRActional Graph Operating Network (DRAGON), a novel continuous Graph Neural Network (GNN) framework that incorporates distributed-order fractional calculus.
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
We introduce the FRactional-Order graph Neural Dynamical network (FROND), a new continuous graph neural network (GNN) framework.
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Recent progress in 3D scene understanding has explored visual grounding (3DVG) to localize a target object through a language description.
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