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村田剛志 2018年 研究業績一覧 (16件 / 187件)
論文
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Tsuyoshi MURATA,
Hokuto Koga.
Extended Methods for Influence Maximization in Dynamic Networks,
Computational Social Networks,
Springer,
Vol. 5,
No. 8,
pp. 1-21,
Oct. 2018.
公式リンク
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Arie Wahyu Wijayanto,
Tsuyoshi MURATA.
Pre-Emptive Spectral Graph Protection Strategies on Multiplex Social Networks,
Applied Network Science,
Springer,
Vol. 3,
No. 5,
pp. 1-24,
Apr. 2018.
公式リンク
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Jun Jin Choong,
Liu Xin,
Tsuyoshi MURATA.
Variational Approach for Learning Community Structures,
Complexity,
Hindawi,
Vol. 2018,
No. 4867304,
pp. 1-13,
2018.
公式リンク
国際会議発表 (査読有り)
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Arie Wahyu Wijayanto,
Tsuyoshi MURATA.
Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning,
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI),
Proceedings of 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI),
IEEE,
pp. 534-539,
Dec. 2018.
公式リンク
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Arie Wahyu Wijayanto,
Jun Jin Choong,
Kaushalya Madhawa,
Tsuyoshi MURATA.
Robustness of Compressed Convolutional Neural Networks,
Workshop on Big Data for CyberSecurity (BigCyber-2018),
Proceedings of the 2018 IEEE International Conference on Big Data (Big Data),
pp. 4829-4836,
Dec. 2018.
公式リンク
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Kaushalya Madhawa,
Tsuyoshi MURATA.
Exploring Partially Observed Networks with Nonparametric Bandits,
7th International Conference on Complex Networks and Their Applications (Complex Networks 2018),
Proceedings of the 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018),
Springer,
Vol. 2,
pp. 158-168,
Dec. 2018.
公式リンク
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Hafizh Adi Prasetya,
Tsuyoshi MURATA.
Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media,
7th International Conference on Complex Networks and Their Applications (Complex Networks 2018),
Proceedings of the 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018),
Vol. 2,
pp. 314-326,
Dec. 2018.
公式リンク
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Jun Jin Choong,
Liu Xin,
Tsuyoshi MURATA.
Learning Community Structure with Variational Autoencoder,
IEEE International Conference on Data Mining (ICDM 2018),
Proceedings of IEEE International Conference on Data Mining (ICDM 2018),
IEEE,
pp. 69-78,
Nov. 2018.
公式リンク
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Liu Xin,
Natthawut Kertkeidkachorn,
Tsuyoshi MURATA,
Kyoung-Sook Kim,
Julien Leblay,
Steven Lynden.
Network Embedding Based on a Quasi-Local Similarity Measure,
15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018),
Springer,
pp. 429-440,
Aug. 2018.
公式リンク
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Liu Xin,
Tsuyoshi MURATA,
Kyoung-Sook Kim.
Measuring Graph Reconstruction Precisions---How Well Do Embeddings Preserve the Graph Proximity Structure,
the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018),
ACM,
Article No. 25,
pp. 1-4,
June 2018.
公式リンク
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Ryuta Matsuno,
Tsuyoshi MURATA.
MELL: Effective Embedding Method for Multiplex Networks,
International workshop on Mining Attributed Networks (MATNet),
WWW'18 Companion Proceedings of The Web Conference 2018,
ACM,
pp. 1261-1268,
Apr. 2018.
公式リンク
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Tsuyoshi MURATA,
Naveed Afzal.
Modularity Optimization as a Training Criterion for Graph Neural Networks,
the 9th International Conference on Complex Networks (CompleNet 2018),
Proceedings of the 9th International Conference on Complex Networks (CompleNet 2018),
Springer,
Mar. 2018.
公式リンク
国内会議発表 (査読なし・不明)
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村田剛志.
深層学習による桜島噴火予測,
第115回人工知能学会知識ベースシステム研究会,
人工知能学会研究会資料,
人工知能学会,
SIG-KBS-B802,
pp. 26-27,
Nov. 2018.
公式リンク
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立花誠人,
村田剛志.
構造特徴とグラフ畳み込みを用いたネットワークの半教師あり学習,
第115回人工知能学会知識ベースシステム研究会,
人工知能学会研究会資料,
人工知能学会,
SIG-KBS-B802,
pp. 20-25,
Nov. 2018.
公式リンク
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松野竜太,
村田剛志.
レイヤーベクトルを用いたマルチプレックスネットワークのエンベディング手法,
2018年度(第32回)人工知能学会全国大会,
1N2-04,
pp. 1-4,
June 2018.
公式リンク
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村田剛志,
LE HIEP VINH,
井口正人.
Stacked Recurrent Neural Networkによる桜島噴火予測,
2018年度(第32回)人工知能学会全国大会,
2A1-02,
pp. 1-4,
June 2018.
公式リンク
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