Relational time series forecasting

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Knowledge engineering review (Print)

• Publication date

  2018-04-18

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1017/S0269888918000024
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Continuous-Time Dynamic Network Embeddings

  2018cited by this paper
• Introduction I

  2018influential reference
• Improving Relational Machine Learning by Modeling Temporal Dependencies

  2015influential reference
• Fast Triangle Core Decomposition for Mining Large Graphs

  2014cited by this paper
• Maximizing rumor containment in social networks with constrained time

  2014cited by this paper
• Link prediction in directed social networks

  2014cited by this paper
• Modeling and broadening temporal user interest in personalized news recommendation

  2014cited by this paper
• Social temporal collaborative ranking for context aware movie recommendation

  2013cited by this paper
• A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components

  2013cited by this paper
• Modeling dynamic behavior in large evolving graphs

  2013cited by this paper
• Triangle Core Decomposition and Maximum Cliques

  2013cited by this paper
• Causal graph-based video segmentation

  2013cited by this paper
• Machine Learning Paradigms for Speech Recognition: An Overview

  2013cited by this paper
• TeRec: A Temporal Recommender System Over Tweet Stream

  2013cited by this paper
• Transforming Graph Data for Statistical Relational Learning

  2012influential reference
• Dynamic PageRank Using Evolving Teleportation

  2012cited by this paper
• What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks

  2012cited by this paper
• Time-Evolving Relational Classification and Ensemble Methods

  2012cited by this paper
• Link Prediction via Matrix Factorization

  2011cited by this paper
• Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection

  2011cited by this paper
• A Survey of Link Prediction in Social Networks

  2011cited by this paper
• GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms

  2011cited by this paper
• Track to the future: Spatio-temporal video segmentation with long-range motion cues

  2011cited by this paper
• Temporal motifs in time-dependent networks

  2011cited by this paper
• Cross-Temporal Link Prediction

  2011cited by this paper
• Temporal Networks

  2011cited by this paper
• Across-Model Collective Ensemble Classification

  2011cited by this paper
• A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

  2011cited by this paper
• Modeling the evolution of discussion topics and communication to improve relational classification

  2010cited by this paper
• Analysing information flows and key mediators through temporal centrality metrics

  2010cited by this paper
• Learning mid-level features for recognition

  2010cited by this paper
• An Empirical Comparison of Machine Learning Models for Time Series Forecasting

  2010influential reference
• Temporal Link Prediction Using Matrix and Tensor Factorizations

  2010cited by this paper
• Meta-Prediction for Collective Classification

  2010cited by this paper
• Modeling relationship strength in online social networks

  2010influential reference
• Temporal recommendation on graphs via long- and short-term preference fusion

  2010cited by this paper
• Collaborative filtering with temporal dynamics

  2010cited by this paper
• TIME SERIES DATA MINING

  2010cited by this paper
• MACHINE LEARNING An Artificial Intelligence Approach

  2009cited by this paper
• Cautious Collective Classification

  2009influential reference
• A neural network based dynamic forecasting model for Trend Impact Analysis

  2009cited by this paper
• Deep Boltzmann Machines

  2009cited by this paper
• Anomaly detection: A survey

  2009cited by this paper
• Structure and Dynamics of Networks

  2009cited by this paper
• Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

  2009cited by this paper
• New ensemble methods for evolving data streams

  2009cited by this paper
• Temporal distance metrics for social network analysis

  2009cited by this paper
• Link Prediction on Evolving Data Using Matrix and Tensor Factorizations

  2009cited by this paper
• Matrix Factorization Techniques for Recommender Systems

  2009cited by this paper
• Spatiotemporal Relational Probability Trees: An Introduction

  2008cited by this paper
• Estimating PageRank on graph streams

  2008cited by this paper
• Support vector machines

  2008cited by this paper
• SoRec: social recommendation using probabilistic matrix factorization

  2008cited by this paper
• The Experimental Probe of Inflationary Cosmology (EPIC): A Mission Concept Study for NASA's Einstein Inflation Probe

  2008cited by this paper
• Temporal-Relational Classifiers for Prediction in Evolving Domains

  2008cited by this paper
• Ensembles of relational classifiers

  2008cited by this paper
• Ranking Links on the Web: Search and Surf Engines

  2008cited by this paper
• Mining Periodic Behavior in Dynamic Social Networks

  2008cited by this paper
• Learning Deep Architectures for AI

  2007cited by this paper
• Introduction to Statistical Relational Learning

  2007influential reference
• Structure Prediction in Temporal Networks using Frequent Subgraphs

  2007cited by this paper
• Sparse Feature Learning for Deep Belief Networks

  2007cited by this paper
• Link prediction using supervised learning

  2006cited by this paper
• Graph evolution: Densification and shrinking diameters

  2006cited by this paper
• Relational Ensemble Classification

  2006influential reference
• A Fast Learning Algorithm for Deep Belief Nets

  2006cited by this paper
• A Comparison of Direct and Iterated Multistep Ar Methods for Forecasting Macroeconomic Time Series

  2006influential reference
• Pattern Recognition and Machine Learning

  2006cited by this paper
• The dynamics of viral marketing

  2005cited by this paper
• EventRank: a framework for ranking time-varying networks

  2005cited by this paper
• Using relational knowledge discovery to prevent securities fraud

  2005cited by this paper
• CLASSIFICATION AND DETECTION OF ABNORMAL EVENTS IN TIME SERIES OF GRAPHS

  2004cited by this paper
• Why collective inference improves relational classification

  2004cited by this paper
• Algorithms and models for the web-graph : third international workshop, WAW 2004, Rome, Italy, October 16, 2004 : proceedings

  2004cited by this paper
• Probabilistic Inductive Logic Programming

  2004cited by this paper
• Eigenspace-based anomaly detection in computer systems

  2004cited by this paper
• A Simple Relational Classifier

  2003influential reference
• Link-Based Classification

  2003cited by this paper
• Computing Shortest, Fastest, and Foremost Journeys in Dynamic Networks

  2003cited by this paper
• Exploiting relational structure to understand publication patterns in high-energy physics

  2003cited by this paper
• Graph-based anomaly detection

  2003cited by this paper
• Simple estimators for relational Bayesian classifiers

  2003influential reference
• Complexity of Connected Components in Evolving Graphs and the Computation of Multicast Trees in Dynamic Networks

  2003cited by this paper
• The link prediction problem for social networks

  2003influential reference
• Introduction to Time Series and Forecasting

  2003influential reference
• Specificity and Stability in Topology of Protein Networks

  2002cited by this paper
• Econometric models and economic forecasts

  2002cited by this paper
• Food-web structure and network theory: The role of connectance and size

  2002cited by this paper
• Lethality and centrality in protein networks

  2001cited by this paper
• Birds of a Feather: Homophily in Social Networks

  2001cited by this paper
• Infection dynamics on scale-free networks.

  2001cited by this paper
• A real-time data set for macroeconomists

  2001cited by this paper
• Mining the network value of customers

  2001cited by this paper
• Mapping Networks of Terrorist Cells

  2001cited by this paper
• Robust patterns in food web structure.

  2001cited by this paper
• The large-scale organization of metabolic networks

  2000cited by this paper
• The structure of scientific collaboration networks.

  2000cited by this paper
• Graph structure in the Web

  2000cited by this paper
• Epidemic spreading in scale-free networks.

  2000cited by this paper
• The small world inside large metabolic networks

  2000cited by this paper

• Parameter Prediction for Variational Quantum Algorithms through Sequence Modeling (Short Paper)

  2024cites this paper
• Graph Deep Factors for Probabilistic Time-series Forecasting

  2022cites this paper
• A Survey on Embedding Dynamic Graphs

  2021cites this paper
• Context Integrated Relational Spatio-Temporal Resource Forecasting

  2021cites this paper
• Inferring Individual Level Causal Models from Graph-based Relational Time Series

  2020influential citation
• A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting

  2020cites this paper
• Urban population density estimation based on spatio‐temporal trajectories

  2020cites this paper
• Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

  2020cites this paper
• Spatio-Temporal Functional Neural Networks

  2020cites this paper
• STATISTICAL RELATIONAL LEARNING: A STATE-OF-THE-ART REVIEW

  2019cites this paper