Results 111 to 120 of about 2,166 (199)

Enhanced multi-task deep reinforcement learning for the integrated inventory-routing problem under VMI mode

Management System Engineering
Effective inventory replenishment and routing are crucial for minimizing supply chain costs and enhancing operational efficiency. In this paper, we focus on the integrated optimization of inventory replenishment and routing problems in Vendor Managed ...
Gang Lu, Junmin Wan, Lijing Du, Xiaofang Chen   +3 more
doaj   +1 more source

Implementation of Web Query Languages Reconsidered [PDF]

, 2008
Visions of the next generation Web such as the "Semantic Web" or the "Web 2.0" have triggered the emergence of a multitude of data formats. These formats have different characteristics as far as the shape of data is concerned (for example tree- vs. graph-
Furche, Tim
core  

A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer

Scientific Reports
The presence of axillary lymph node metastasis (ALNM) in breast cancer patients is an important factor in deciding whether to have axillary surgery or pursue alternative treatments.
Enock Adjei Agyekum, Wentao Kong, Yong-zhen Ren, Eliasu Issaka, Josephine Baffoe, Wang Xian, Gongxun Tan, Chunjing Xiong, Zhangye Wang, Xiaoqin Qian, Xiangjun Shen   +10 more
doaj   +1 more source

Automata network isomorphism and its influence on the interaction graph

Un réseau d'automates à n composantes sur un alphabet fini Q est un système dynamique discret décrit par l'itération successive d'une fonction f : Qⁿ → Qⁿ.
Picard Marchetto, Aymeric
core  

GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs

BMC Genomics
Most proteins exert their functions by interacting with other proteins, making the identification of protein-protein interactions (PPI) crucial for understanding biological activities, pathological mechanisms, and clinical therapies. Developing effective
Xin Zeng, Fan-Fang Meng, Meng-Liang Wen, Shu-Juan Li, Yi Li   +4 more
doaj   +1 more source

A Lagrangian relaxation network for graph matching

, 2008
A Lagrangian relaxation network for graph matching is presented. The problem is formulated as follows: given graphs ¢ ¡ and, find a permutation matrix that brings the two sets of vertices into correspondence.
Eric Mjolsness, Anand Rangarajan
core  

The Comparison of Tree-Sibling Time Consistent Phylogenetic Network Is Graph Isomorphism-Complete

, 2014
Several polynomial time computable metrics on the class of semibinary tree-sibling time consistent phylogenetic networks are available in the literature; in particular, the problem of deciding if two networks of this kind are isomorphic is in P.
Gabriel Valiente, Gabriel Cardona, Mercè Llabrés, Francesc Rosselló   +3 more
core  

The study of privacy preserving graph structure in cloud by using K-isomorphism

, 2015
碩士日益成長的雲端技術使得雲端應用愈趨成熟，圖形是目前許多資訊處理與應用極為重要並倚賴的資料結構，因此使用者與企業在運用雲端之同時極有可能須將圖形的結構資料寄存至雲端，除善用其儲存系統儲存大量圖形資料，並借重其計算能力做有效率的處理，但圖形內含有許多重要且敏感的資訊，因此在上傳圖形結構前必須轉換成能夠隱藏資訊的外儲圖(outsource graph)以確保使用者的隱私。本論文提出方法將圖形轉換成k-isomorphism圖，該演算法酌量加入虛擬假節點(dummy vertex)與虛擬假邊(dummy ...
吳政軒; Wu, Cheng-Hsuan
core  

Evaluating global measures of network centralization: Axiomatic and numerical assessments. [PDF]

PLoS One
Saberi M, Aref S.
europepmc   +1 more source

Dual-Branch Graph Learning with Frequency Gating for Industrial Sensor Anomaly and Cyberattack Detection. [PDF]

Sensors (Basel)
Zhao T, Yang W, Yao Y.
europepmc   +1 more source