Suchergebnisse - "graph representation algorithm"

Automatic graph representation algorithm for heterogeneous catalysis

Autoren: Zachary Gariepy ZhiWen Chen Isaac Tamblyn et al.

Quelle: APL Machine Learning, Vol 1, Iss 3, Pp 036103-036103-8 (2023)

Schlagwörter: Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, Physics, QC1-999, Electronic computers. Computer science, Physics - Chemical Physics, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, QA75.5-76.95, 02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences

Zugangs-URL: http://arxiv.org/abs/2306.04742
https://doaj.org/article/5d2a2c13a2f942668fa358d81e046e14

Automatic graph representation algorithm for heterogeneous catalysis.

Autoren: Gariepy, Zachary Chen, ZhiWen Tamblyn, Isaac et al.

Quelle: APL Machine Learning; Sep2023, Vol. 1 Issue 3, p1-8, 8p

Schlagwörter: REPRESENTATIONS of graphs, ALGORITHMS, ARTIFICIAL neural networks, MACHINE learning, PERFORMANCE evaluation

Secuer: Ultrafast, scalable and accurate clustering of single-cell RNA-seq data.

Autoren: Wei, Nana Nie, Yating Liu, Lin et al.

Quelle: PLoS Computational Biology; 12/5/2022, Vol. 18 Issue 12, p1-20, 20p, 5 Graphs

Schlagwörter: RNA sequencing, REPRESENTATIONS of graphs, GRAPH algorithms, BIPARTITE graphs, SCALABILITY

Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis

Autoren: Li, Jiawen Chen, Yuxuan Chu, Hongbo et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2403.07719

Adaptable graph region for optimizing performance in dynamic system long-term forecasting via time-aware expert.

Autoren: Peng, Xuan Liu, Zefeng Zhang, Peng et al.

Quelle: Nature Communications; 11/20/2025, Vol. 16 Issue 1, p1-16, 16p

Schlagwörter: DYNAMICAL systems, MULTISCALE modeling, REPRESENTATIONS of graphs, ARTIFICIAL neural networks, MATHEMATICAL optimization, TIME, PREDICTION models

Graph reduction techniques for instance selection: comparative and empirical study: Graph reduction techniques for instance selection: comparative...: Z. Rustamov et al.

Autoren: Rustamov, Zahiriddin Zaki, Nazar Rustamov, Jaloliddin et al.

Quelle: Artificial Intelligence Review; Feb2025, Vol. 58 Issue 2, p1-42, 42p

Schlagwörter: DATA mining, ARTIFICIAL intelligence, MACHINE learning, INFORMATION theory, DATA reduction

Direct Manipulation of Procedural Implicit Surfaces.

Autoren: Riso, Marzia Michel, Élie Paris, Axel et al.

Quelle: ACM Transactions on Graphics; Dec2024, Vol. 43 Issue 6, p1-12, 12p

Schlagwörter: AUTOMATIC differentiation, SURFACE interactions, WORKFLOW, DEFINITIONS, EDITING

Epileptic Seizure Detection in Neonatal EEG Using a Multi-Band Graph Neural Network Model.

Autoren: Tang, Lihan Zhao, Menglian

Quelle: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9712, 17p

Schlagwörter: GRAPH neural networks, ARTIFICIAL neural networks, RECEIVER operating characteristic curves, SIGNAL classification, REPRESENTATIONS of graphs

Enhancing Temporal Knowledge Graph Representation with Curriculum Learning.

Autoren: Liu, Yihe Shen, Yi Dai, Yuanfei

Quelle: Electronics (2079-9292); Sep2024, Vol. 13 Issue 17, p3397, 15p

Schlagwörter: KNOWLEDGE graphs, KNOWLEDGE representation (Information theory), REPRESENTATIONS of graphs, CURRICULUM planning, MACHINE learning

Validating multiple variants of an automotive light system with Alloy 6.

Autoren: Cunha, Alcino Macedo, Nuno Liu, Chong

Quelle: International Journal on Software Tools for Technology Transfer; Jun2024, Vol. 26 Issue 3, p365-377, 13p

Schlagwörter: LIGHT metal alloys, FORMAL languages, ALLOYS

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification

Autoren: Felipe Castano Eduardo Fidalgo Fernandez Rocio Alaiz-Rodriguez et al.

Quelle: IEEE Access, Vol 11, Pp 40779-40789 (2023)

Schlagwörter: Cybersecurity, cybercrime, cyber threats, phishing, social engineering, phishing kits, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10103863/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/6393df99477848e7b2eefb782caf8f32

Transforming temporal-dynamic graphs into time-series data for solving event detection problems.

Autoren: TASCI, Kutay AKAL, Fuat

Quelle: Turkish Journal of Electrical Engineering & Computer Sciences; 2023, Vol. 31 Issue 5, p876-891, 16p

Schlagwörter: REPRESENTATIONS of graphs, SOCIAL media, SOCIAL interaction, WORKFLOW, TOPOLOGY

Firma/Körperschaft: REDDIT Inc.

Exploring Prior Knowledge from Human Mobility Patterns for POI Recommendation.

Autoren: Song, Jingbo Yi, Qiuhua Gao, Haoran et al.

Quelle: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 11, p6495, 13p

Schlagwörter: PRIOR learning, TRAFFIC patterns, CITY traffic, SOCIAL networks, HUMAN beings

Boosted Binary Quantum Classifier via Graphical Kernel.

Autoren: Li, Yuan Huang, Duan

Quelle: Entropy; Jun2023, Vol. 25 Issue 6, p870, 19p

Schlagwörter: QUANTUM graph theory, BOOSTING algorithms, QUANTUM computing, MACHINE learning, MACHINE theory, GRAPH theory

Graph Neural Network-Based Efficient Subgraph Embedding Method for Link Prediction in Mobile Edge Computing.

Autoren: Deng, Xiaolong Sun, Jufeng Lu, Junwen

Quelle: Sensors (14248220); May2023, Vol. 23 Issue 10, p4936, 21p

Schlagwörter: MOBILE computing, EDGE computing, FORECASTING, INFORMATION networks, PROBLEM solving, ROUTING algorithms

A Forwarding Prediction Model of Social Network based on Heterogeneous Network

Autoren: Kangfeng Zheng Tianyu Xie Chunhua Wu

Quelle: 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :960-964

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://xplorestaging.ieee.org/ielx7/9390588/9390589/09390634.pdf?arnumber=9390634
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9390634

A Novel Disease Prediction Method Based on Inductive Representation Learning

Autoren: Renyu Song Chaokun Yan Huimin Luo et al.

Quelle: 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA). :239-243

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Zugangs-URL: https://ieeexplore.ieee.org/document/9403168

GBRM: a graph embedding and blockchain-based resource management framework for 5G MEC.

Autoren: Lei, Kai Ye, Hao Fang, Junjie et al.

Quelle: Journal of Supercomputing; Sep2022, Vol. 78 Issue 14, p16266-16285, 20p

Schlagwörter: RESOURCE management, 5G networks, TELECOMMUNICATION, EDGE computing, TECHNOLOGY convergence

Fusion Recommendation System Based on Collaborative Filtering and Knowledge Graph.

Autoren: Donglei Lu Dongjie Zhu Haiwen Du et al.

Quelle: Computer Systems Science & Engineering; 2022, Vol. 42 Issue 3, p1134-1146, 14p

Schlagwörter: DATA fusion (Statistics), RECOMMENDER systems, INFORMATION filtering, KNOWLEDGE graphs, PERFORMANCE evaluation

Multilayer Graph-Based Deep Learning Approach for Stock Price Prediction.

Autoren: Alshara, Mohammed Ali

Quelle: Security & Communication Networks; 5/20/2022, p1-8, 8p

Schlagwörter: STOCK prices, STOCK price forecasting, DEEP learning, EARNINGS forecasting