Results 11 to 20 of about 410,939 (360)
Factorizations of complete graphs into tadpoles
A tadpole (also a canoe paddle or lollipop) is a graph that arises from a cycle and a path by gluing a terminal vertex of the path to an arbitrary vertex of the cycle.
Michael Kubesa, Tom Raiman
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TuckER: Tensor Factorization for Knowledge Graph Completion [PDF]
Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones.
Ivana Balazevic+2 more
semanticscholar +1 more source
Solving Generalized Bivariate Integer Equations and Its Application to Factoring With Known Bits
In this paper, we propose two improved theorems for addressing generalized bivariate integer equations using the lattice-based method. We examine the application of these theorems to the problem of factoring general RSA (Rivest–Shamir– ...
Mengce Zheng, Zhigang Chen, Yaohui Wu
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Interpretation of deep non-linear factorization for autism
Autism, a neurodevelopmental disorder, presents significant challenges for diagnosis and classification. Despite the widespread use of neural networks in autism classification, the interpretability of their models remains a crucial issue. This study aims
Boran Chen+3 more
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Factorization and Malleability of RSA Moduli, and Counting Points on Elliptic Curves Modulo N
In this paper we address two different problems related with the factorization of an RSA (Rivest–Shamir–Adleman cryptosystem) modulus N. First we show that factoring is equivalent, in deterministic polynomial time, to counting points on a pair of twisted
Luis V. Dieulefait, Jorge Urroz
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On tensor products of nuclear operators in Banach spaces
The following result of G. Pisier contributed to the appearance of this paper: if a convolution operator ★f : M(G) → C(G), where $G$ is a compact Abelian group, can be factored through a Hilbert space, then f has the absolutely summable set of Fourier ...
Oleg Reinov
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Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks [PDF]
Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions.
Jun Xiao+5 more
semanticscholar +1 more source
Factorization -- a simple form of standardization -- is concerned with reduction strategies, i.e. how a result is computed. We present a new technique for proving factorization theorems for compound rewriting systems in a modular way, which is inspired by the Hindley-Rosen technique for confluence.
Accattoli, Beniamino+2 more
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Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec [PDF]
Since the invention of word2vec, the skip-gram model has significantly advanced the research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and node2vec approaches.
J. Qiu+5 more
semanticscholar +1 more source
On Factorizable Semihypergroups
In this paper, we define and study the concept of the factorizable semihypergroup, i.e., a semihypergroup that can be written as a hyperproduct of two proper sub-semihypergroups. We consider some classes of semihypergroups such as regular semihypergroups,
Dariush Heidari, Irina Cristea
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