Tsuyoshi Murata

Orcid: 0000-0002-3818-7830

According to our database1, Tsuyoshi Murata authored at least 127 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Influence maximization on temporal networks: a review.
Appl. Netw. Sci., December, 2024

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs.
Mach. Learn., April, 2024

Future-Proofing Class Incremental Learning.
CoRR, 2024

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Link prediction for ex ante influence maximization on temporal networks.
Appl. Netw. Sci., December, 2023

Heterogeneous graph embedding with single-level aggregation and infomax encoding.
Mach. Learn., November, 2023

Feature selection: Key to enhance node classification with graph neural networks.
CAAI Trans. Intell. Technol., March, 2023

Modularity-based selection of the number of slices in temporal network clustering.
CoRR, 2023

Class-Incremental Learning using Diffusion Model for Distillation and Replay.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Simplifying approach to node classification in Graph Neural Networks.
J. Comput. Sci., 2022

Balanced softmax cross-entropy for incremental learning with and without memory.
Comput. Vis. Image Underst., 2022

Modularity Optimization as a Training Criterion for Graph Neural Networks.
CoRR, 2022

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes.
IEEE Access, 2022

Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.
Proceedings of the Discovery Science - 25th International Conference, 2022

Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Leaping through Time with Gradient-Based Adaptation for Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Graph Neural Networks for Fast Node Ranking Approximation.
ACM Trans. Knowl. Discov. Data, 2021

COVID-19 and Networks.
New Gener. Comput., 2021

PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding.
Inf. Sci., 2021

Graph convolutional networks for graphs containing missing features.
Future Gener. Comput. Syst., 2021

Natural Image Reconstruction from fMRI using Deep Learning: A Survey.
CoRR, 2021

Improving Graph Neural Networks with Simple Architecture Design.
CoRR, 2021

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks.
IEEE Access, 2021

Development of IPSJ Data Science Curriculum Standard.
Proceedings of the Digital Transformation of Education and Learning - Past, Present and Future, 2021

Balanced Softmax Cross-Entropy for Incremental Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder.
Sensors, 2020

Active Learning for Node Classification: An Evaluation.
Entropy, 2020

Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization.
Entropy, 2020

Stacked Graph Filter.
CoRR, 2020

MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning.
CoRR, 2020

Revisiting Graph Neural Networks: Graph Filtering Perspective.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction.
Proceedings of the Complex Networks & Their Applications IX, 2020

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Graph Neural Networks with Noisy Labels.
CoRR, 2019

How much topological structure is preserved by graph embeddings?
Comput. Sci. Inf. Syst., 2019

Effective and scalable methods for graph protection strategies against epidemics on dynamic networks.
Appl. Netw. Sci., 2019

Relation prediction in knowledge graph by Multi-Label Deep Neural Network.
Appl. Netw. Sci., 2019

A multi-armed bandit approach for exploring partially observed networks.
Appl. Netw. Sci., 2019

Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation.
IEEE Access, 2019

A General View for Network Embedding as Matrix Factorization.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linear Graph Convolutional Model for Diagnosing Brain Disorders.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Fast Approximations of Betweenness Centrality with Graph Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Optimizing Variational Graph Autoencoder for Community Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Towards Robust Compressed Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018
Variational Approach for Learning Community Structures.
Complex., 2018

MELL: Effective Embedding Method for Multiplex Networks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Network Embedding Based on a Quasi-Local Similarity Measure.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Learning Community Structure with Variational Autoencoder.
Proceedings of the IEEE International Conference on Data Mining, 2018

Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media.
Proceedings of the Complex Networks and Their Applications VII, 2018

Exploring Partially Observed Networks with Nonparametric Bandits.
Proceedings of the Complex Networks and Their Applications VII, 2018

Robustness of Compressed Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Constrained Community Detection in Multiplex Networks.
Proceedings of the Social Informatics, 2017

Predicting relations of embedded RDF entities by Deep Neural Network.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Predicting Relations Between RDF Entities by Deep Neural Network.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

Methods for Influence Maximization in Dynamic Networks.
Proceedings of the Complex Networks & Their Applications VI, 2017

Flow-Aware Vertex Protection Strategy on Large Social Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression.
New Gener. Comput., 2016

Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015
Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method.
Inf. Media Technol., 2015

Edge Weight Method for Community Detection on Mixed Scale-Free Networks.
Int. J. Artif. Intell. Tools, 2015

Comparison of Inter-Layer Couplings of Multilayer Networks.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Selecting Seed Nodes for Influence Maximization in Dynamic Networks.
Proceedings of the Complex Networks VI, 2015

Fast Optimization of Hamiltonian for Constrained Community Detection.
Proceedings of the Complex Networks VI, 2015

2014
Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks.
Inf. Media Technol., 2014

Detecting network communities beyond assortativity-related attributes.
CoRR, 2014

A Framework for Community Detection in Heterogeneous Multi-Relational Networks.
Adv. Complex Syst., 2014

Edge Weight Method for Community Detection in Scale-Free Networks.
Proceedings of the 4th International Conference on Web Intelligence, 2014

A unified modularity by encoding the similarity attraction feature into the null model.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Web Caching Replacement Algorithm Based on Web Usage Data.
New Gener. Comput., 2013

Recent Large Graph Visualization Tools : A Review.
Inf. Media Technol., 2013

Extracting the multilevel communities based on network structural and nonstructural information.
Proceedings of the 22nd International World Wide Web Conference, 2013

A Fast Method for Detecting Communities from Tripartite Networks.
Proceedings of the Social Informatics - 5th International Conference, 2013

Community detection algorithm based on centrality and node distance in scale-free networks.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

2012
Extending modularity by incorporating distance functions in the null model
CoRR, 2012

2011
Detecting Communities in K-Partite K-Uniform (Hyper)Networks.
J. Comput. Sci. Technol., 2011

A New Tripartite Modularity for Detecting Communities.
Inf. Media Technol., 2011

Visual Analysis of Bipartite Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Extracting the mesoscopic structure from heterogeneous systems.
Proceedings of the HT'11, 2011

2010
Modularity for Bipartite Networks.
Proceedings of the Data Mining for Social Network Data, 2010

Detecting Communities in Social Networks.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks.
J. Adv. Comput. Intell. Intell. Informatics, 2010

Community Detection in Large-scale Bipartite Networks.
Inf. Media Technol., 2010

Detecting Communities in Tripartite Hypergraphs
CoRR, 2010

A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks.
Adv. Complex Syst., 2010

Detecting communities from tripartite networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

Evaluating Community Structure in Bipartite Networks.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Breaking News Detection and Tracking in Twitter.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

Modularity for heterogeneous networks.
Proceedings of the HT'10, 2010

2009
How Does Label Propagation Algorithm Work in Bipartite Networks?
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

Modularities for bipartite networks.
Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

Detecting Communities from Bipartite Networks Based on Bipartite Modularities.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Community Division of Heterogeneous Networks.
Proceedings of the Complex Sciences, 2009

2008
Link Prediction based on Structural Properties of Online Social Networks.
New Gener. Comput., 2008

Identification of MCMC Samples for Clustering.
Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

Analysis of Online Question-Answering Forums as Heterogeneous Networks.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Discovering, Visualizing and Evaluating Online Bipartite Communities.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph.
Proceedings of the Emergent Intelligence of Networked Agents, 2007

Special Issue on Intelligent Web Interaction.
New Gener. Comput., 2007

Detection of Breaking News from Online Web Search Queries.
New Gener. Comput., 2007

Discovery of User Communities Based on Terms of Web Log Data.
New Gener. Comput., 2007

Link Prediction of Social Networks Based on Weighted Proximity Measures.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Discovering and Visualizing Network Communities.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

2006
Extracting Users' Interests from Web Log Data.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Extracting Keywords of Web Users' Interests and Visualizing their Routine Visits.
Proceedings of the Ninth International Conference on Control, 2006

Towards the Detection of Breaking News from Online Web Search Keywords.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005
Extraction of Structural Information from the Web.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Discovery of User Communities from Web Audience Measurement Data.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Roles of Diagrammatic Information for the Discovery of Geometrical Theorems.
Proceedings of the Diagrammatic Representation and Inference, 2004

2003
Visualizing the structure of Web communities based on data acquired from a search engine.
IEEE Trans. Ind. Electron., 2003

Discovery of Web Communities from Positive and Negative Examples.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
DIPS: Diagrammatic arithmetic problem solver.
Syst. Comput. Jpn., 2002

2001
A method of inductive machine discovery based on experimental data acquisition.
Syst. Comput. Jpn., 2001

A problem solver for quadratic functions.
Syst. Comput. Jpn., 2001

Finding Related Web Pages Based on Connectivity Information from a Search Engine.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

A Method for Discovering Purified Web Communities.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
Discovery of Web Communities Based on the Co-Occurence of References.
Proceedings of the Discovery Science, 2000

1999
Machine Discovery Based on the Co-occurrence of References in a Search Engine.
Proceedings of the Discovery Science, 1999

1998
A method of machine discovery based on geometrical structure.
Syst. Comput. Jpn., 1998

1996
Machine Discovery Based on Numerical Data Generated in Computer Experiments.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1994
A Discovery System for Trigonometric Functions.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994


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