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Found 4 papers, 1 papers with code
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
We propose Topology Coordinate Neural Network (TCNN) and Directional Virtual Coordinate Neural Network (DVCNN) as novel and efficient alternatives to message passing GNNs, that directly leverage the graph's topology, sidestepping the computational challenges presented by competing algorithms.
Investigative Pattern Detection Framework for Counterterrorism
Law-enforcement investigations aimed at preventing attacks by violent extremists have become increasingly important for public safety.
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Learning dynamics of collectively moving agents such as fish or humans is an active field in research.
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Thus, here we propose a novel and computationally efficient image denoising method that is capable of producing accurate images.
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