Results 11 to 20 of about 163,100 (319)
AbstractWe show how concurrent quantales and concurrent Kleene algebras arise as convolution algebras of functions from relational structures with two ternary relations that satisfy relational interchange laws into concurrent quantales or Kleene algebras, among others.
James Cranch +2 more
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Node-Feature Convolution for Graph Convolutional Networks [PDF]
Graph convolutional network (GCN) is an effective neural network model for graph representation learning. However, standard GCN suffers from three main limitations: (1) most real-world graphs have no regular connectivity and node degrees can range from one to hundreds or thousands, (2) neighboring nodes are aggregated with fixed weights, and (3) node ...
Zhang, L., Song, H., Aletras, N., Lu, H.
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Dynamic Convolution: Attention Over Convolution Kernels [PDF]
CVPR 2020 (Oral)
Yinpeng Chen +5 more
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Convolution in Convolution for Network in Network [PDF]
A method of Convolutional Neural ...
Pang, Yanwei +4 more
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Grid Graph Reduction for Efficient Shortest Pathfinding
Single-pair shortest pathfinding (SP) algorithms are used to identify the path with the minimum cost between two vertices in a given graph. However, their time complexity can rapidly increase as the graph size grows.
Chan-Young Kim, Sanghoon Sull
doaj +1 more source
Counterpoint By Convolution. [PDF]
Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR ...
Cheng-Zhi Anna Huang +4 more
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Generalized Quantum Convolution for Multidimensional Data
The convolution operation plays a vital role in a wide range of critical algorithms across various domains, such as digital image processing, convolutional neural networks, and quantum machine learning.
Mingyoung Jeng +8 more
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Quantum stochastic convolution cocycles III [PDF]
The theory of quantum Levy processes on a compact quantum group, and more generally quantum stochastic convolution cocycles on a C*-bialgebra, is extended to locally compact quantum groups and multiplier C*-bialgebras.
Skalski, Adam G. +3 more
core +1 more source
Convolutions, integral transforms and integral equations by means of the theory of reproducing kernels [PDF]
This paper introduces a general concept of convolutions by means of the theory of reproducing kernels which turns out to be useful for several concrete examples and applications.
Luis P. Castro +2 more
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