Results 1 to 10 of about 112,040 (115)

Next-generation graph computing with electric current-based and quantum-inspired approaches [PDF]

Nature Communications
Graph data is crucial for modeling complex relationships in various fields, but conventional graph computing methods struggle to handle increasingly intricate and large-scale graph data.
Yoon Ho Jang, Janguk Han, Soo Hyung Lee, Cheol Seong Hwang   +3 more
doaj   +2 more sources

Graph Computing Systems and Partitioning Techniques: A Survey

IEEE Access, 2022
Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application domains.
Tewodros Alemu Ayall, Huawen Liu, Changjun Zhou, Abegaz Mohammed Seid, Fantahun Bogale Gereme, Hayla Nahom Abishu, Yasin Habtamu Yacob   +6 more
doaj   +3 more sources

GPU-based Graph Analysis and Computation Method for Graph Database [PDF]

Jisuanji gongcheng, 2021
Most of the existing graph databases use CPU-based distributed graph computing engines(such as GraphX) for online analysis operations, but the limited number of CPU cores will lead to low computing efficiency, and the synchronization between clusters ...
QIAN Shangyun, SHAO Zhiyuan, ZHENG Ran, CHEN Jilin
doaj   +1 more source

CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity

BMC Bioinformatics, 2023
Accurately predicting the binding affinity between proteins and ligands is crucial for drug discovery. Recent advances in graph neural networks (GNNs) have made significant progress in learning representations of protein-ligand complexes to estimate ...
Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong   +3 more
doaj   +1 more source

Graph Computing Based Distributed Parallel Power Flow for AC/DC Systems with Improved Initial Estimate

Journal of Modern Power Systems and Clean Energy, 2021
The sequential method is easy to integrate with existing large-scale alternating current (AC) power flow solvers and is therefore a common approach for solving the power flow of AC/direct current (DC) hybrid systems.
Wei Feng, Chen Yuan, Qingxin Shi, Renchang Dai, Guangyi Liu, Zhiwei Wang, Fangxing Li   +6 more
doaj   +1 more source

Intranet Anomaly Detection Method Using Flow Mining and Graph Mining

Jisuanji kexue yu tansuo, 2020
Evidence of malicious activity on the intranet is often hidden in large data streams, such as system logs that accumulate over months or years, whereas data flows are often unbounded, changing, and unlabeled.
SUN Wei, ZHANG Yu
doaj   +1 more source

Uniform Single Valued Neutrosophic Graphs [PDF]

Neutrosophic Sets and Systems, 2017
In this paper, we propose a new concept named the uniform single valued neutrosophic graph. An illustrative example and some properties are examined. Next, we develop an algorithmic approach for computing the complement of the single valued neutrosophic ...
S. Broumi, A. Dey, A. Bakali, M. Talea, F. Smarandache, L. H. Son, D. Koley   +6 more
doaj   +1 more source

Design of Heterogeneous Graph Computing System for Large-Scale Dynamic Graph [PDF]

Jisuanji gongcheng
Graphics Processing Unit (GPU) is not fully utilized when processing large-scale dynamic graphs, and the limitations of GPU-oriented graph partitioning methods lead to performance bottlenecks.
ZHANG Ming, GUO Wenkang, WANG Haifeng
doaj   +1 more source

GAP: Genetic Algorithm Based Large-Scale Graph Partition in Heterogeneous Cluster

IEEE Access, 2020
Graph is an important model to describe various networks, and its scale becomes larger and larger with the development of communication and information technology.
Menghan Li, Huanqing Cui, Chuanai Zhou, Shaohua Xu   +3 more
doaj   +1 more source

Dynamic load balancing method based on optimal complete matching of weighted bipartite graph for simulation tasks in multi-energy system digital twin applications

Energy Reports, 2022
As demands of renewable energy and more energy storages in power systems promote, the digital twin technology for multi-energy system draws attention from the researchers in power system and energy area.
Xueyong Tang, Yi Ding, Jinyong Lei, He Yang, Yankan Song   +4 more
doaj   +1 more source