Cargando…

IMF: Interpretable Multi-Hop Forecasting on Temporal Knowledge Graphs

Temporal knowledge graphs (KGs) have recently attracted increasing attention. The temporal KG forecasting task, which plays a crucial role in such applications as event prediction, predicts future links based on historical facts. However, current studies pay scant attention to the following two aspe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Du, Zhenyu, Qu, Lingzhi, Liang, Zongwei, Huang, Keju, Cui, Lin, Gao, Zhiyang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137376/ https://www.ncbi.nlm.nih.gov/pubmed/37190454 http://dx.doi.org/10.3390/e25040666

Ejemplares similares

A statistical interpretation of the correlation between IMF multiplicity and transverse energy
por: Phair, L, et al.
Publicado: (1998)

Geoeffective interplanetary magnetic field (IMF) from in situ data: realistic versus idealized spiral IMF
por: Bandić, Mario, et al.
Publicado: (2023)

Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base
por: Zhang, Yanan, et al.
Publicado: (2022)

THE IMF FORECASTS WORLD ECONOMIC GROWTH AT 5.2% FOR 2021 AFTER A 4.4% FALL IN 2020
por: Adams, Reg
Publicado: (2020)

IMF-Supported Programs and Sovereign Debt Crises
por: Balima, Hippolyte, et al.
Publicado: (2021)

IMF’s Surcharges as a Threat to the Right to Development
por: Bohoslavsky, Juan Pablo, et al.
Publicado: (2022)

ADSTGCN: A Dynamic Adaptive Deeper Spatio-Temporal Graph Convolutional Network for Multi-Step Traffic Forecasting
por: Cui, Zhengyan, et al.
Publicado: (2023)

The effects of IMF loan conditions on poverty in the developing world
por: Biglaiser, Glen, et al.
Publicado: (2022)

Interpretable Temporal Attention Network for COVID-19 forecasting
por: Zhou, Binggui, et al.
Publicado: (2022)

The regulation of IMF deposition in pectoralis major of fast- and slow- growing chickens at hatching
por: Liu, Lu, et al.
Publicado: (2017)

North-south anisotropy of cosmic rays and the IMF neutral surface
por: Krymsky, G F
Publicado: (2005)

Solar Wind Ion Entry Into the Magnetosphere During Northward IMF
por: Sorathia, K. A., et al.
Publicado: (2019)

Energy transfer across magnetopause under dawn–dusk IMFs
por: Zhang, H. X., et al.
Publicado: (2023)

IMF-PR: An Improved Morton-Filter-Based Pseudonym-Revocation Scheme in VANETs
por: Zhao, Cong, et al.
Publicado: (2023)

Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network
por: Jeon, Hyeon-Ju, et al.
Publicado: (2022)

Knowledge-based and data-driven underground pressure forecasting based on graph structure learning
por: Wang, Yue, et al.
Publicado: (2022)

A knowledge graph to interpret clinical proteomics data
por: Santos, Alberto, et al.
Publicado: (2022)

Interpretable patent recommendation with knowledge graph and deep learning
por: Chen, Han, et al.
Publicado: (2023)

Obtaining Information about Operation of Centrifugal Compressor from Pressure by Combining EEMD and IMFE
por: Liu, Yan, et al.
Publicado: (2020)

Dynamic IMF production in $^{24}Mg + ^{27}Al$ at intermediate energies
por: Prendergast, E P, et al.
Publicado: (1999)

Explicit IMF B ( y )‐Dependence of Energetic Protons and the Ring Current
por: Holappa, L., et al.
Publicado: (2022)

Spatial–Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
por: Banerjee, Soumyanil, et al.
Publicado: (2022)

A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast †
por: Lira, Hernan, et al.
Publicado: (2022)

Multi-Task Time Series Forecasting Based on Graph Neural Networks
por: Han, Xiao, et al.
Publicado: (2023)

Inframammary Flap Excision Method in Breast Augmentation: Improving Symmetry of NAC and IMF
por: Go, Ju Young, et al.
Publicado: (2018)

Hourly forecasting of traffic flow rates using spatial temporal graph neural networks
por: Belt, Eline A., et al.
Publicado: (2023)

Graph Spatio-Temporal Networks for Manufacturing Sales Forecast and Prevention Policies in Pandemic Era
por: Lee, Chia-Yen, et al.
Publicado: (2023)

Long-distance dependency combined multi-hop graph neural networks for protein–protein interactions prediction
por: Zhong, Wen, et al.
Publicado: (2022)

Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
por: Wu, Binrong, et al.
Publicado: (2022)

Dependence of IMF production on the reaction mechanism in light heavy ion collisions at intermediate energy
por: Larochelle, Y, et al.
Publicado: (1995)

Decay of Kelvin‐Helmholtz Vortices at the Earth's Magnetopause Under Pure Southward IMF Conditions
por: Nakamura, T. K. M., et al.
Publicado: (2020)

High-temperature stability of nanozirconate-toughed IMF material lanthanum synthesized by an in situ reaction
por: Wang, Xin, et al.
Publicado: (2019)

Pediatric immune myelofibrosis (PedIMF) as a novel and distinct clinical pathological entity
por: Guerra, Fabiola, et al.
Publicado: (2022)

Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph
por: Yan, Zhihua, et al.
Publicado: (2023)

The interpretation of graphs in physics
por: MacPherson, I S, et al.
Publicado: (1974)

Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis
por: Zhao, Ming, et al.
Publicado: (2014)

Multi-Hops Functional Connectivity Improves Individual Prediction of Fusiform Face Activation via a Graph Neural Network
por: Wu, Dongya, et al.
Publicado: (2021)

Multi-order graph attention network for water solubility prediction and interpretation
por: Lee, Sangho, et al.
Publicado: (2023)

An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks
por: Ayatollahitafti, Vahid, et al.
Publicado: (2016)

MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph
por: Vandewiele, Gilles, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ogkq5on829ea95jo87393h31ef