Liu Xin 劉欣

… Alternative Names

LIU XIN 劉欣

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Researcher Number	20803935
Other IDs
Affiliation (Current)	2025: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 上級主任研究員
Affiliation (based on the past Project Information) *help	2025: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 上級主任研究員 2020 – 2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 2023: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 上級主任研究員 2019: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60080:Database-related , Basic Section62020:Web informatics and service informatics-related / Basic Section 60080:Database-related / Basic Section 62020:Web informatics and service informatics-related Except Principal Investigator Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator Node Classification / Graph Neural Network / Graph Embedding / Link Prediction / Graph Mining / Geometric Learning / Multi-Label Graph / Imbalanced Graph / Dynamic Graph / Graph Machine Learning … More / complex network / social network / graph analysis / graph embedding / graph neural network / Social Networks / Graph Neural Networks / Recommender System / Community Detection / Knowledge Graph / Bipartite Graph / Node Ranking / Node ranking / Node classification / Knowledge graph / Heterogeneous graph / Bipartite graph / Graph neural network / Graph embedding … More Except Principal Investigator エンベディング / 動的グラフ / 頑強化 / グラフニューラルネットワーク Less

不完全データにおけるグラフ学習：理論構築と革新的実応用Principal Investigator
- Principal Investigator
  
  劉欣
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62020:Web informatics and service informatics-related
  Basic Section 60080:Database-related
  Sections That Are Subject to Joint Review: Basic Section60080:Database-related , Basic Section62020:Web informatics and service informatics-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Deepening the technologies of graph neural networks
- Principal Investigator
  
  村田剛志
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  Institute of Science Tokyo
Neural Network based Graph Learning: Model Evolution and Real-World ApplicationPrincipal Investigator
- Principal Investigator
  
  Liu Xin
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Bipartite Graph Embedding: As A Unified FrameworkPrincipal Investigator
- Principal Investigator
  
  LIU XIN
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Predicting popularity trend in social media networks with multi-layer temporal graph neural networks2024
- Author(s)
  Jin Ruidong、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Complex & Intelligent Systems
  
  Volume: 10 Issue: 4 Pages: 4713-4729
- DOI
  10.1007/s40747-024-01402-6
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise2024
- Author(s)
  Hasegawa Tai、Yun Sukwon、Liu Xin、Phua Yin Jun、Murata Tsuyoshi
- Journal Title
  
  Proceedings of PAKDD 2024
  
  Pages: 376-389
- DOI
  10.1007/978-981-97-2253-2_30
- ISBN
  9789819722525, 9789819722532
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Shinohara Takayuki、Chang Qiong、Matsuoka Masashi
- Journal Title
  
  Proceedings of MMM'23
  
  Pages: 269-281
- DOI
  10.1007/978-3-031-27077-2_21
- ISBN
  9783031270765, 9783031270772
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Shinohara Takayuki、Chang Qiong、Matsuoka Masashi
- Journal Title
  
  Neurocomputing
  
  Volume: 559 Pages: 126780-126780
- DOI
  10.1016/j.neucom.2023.126780
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs2023
- Author(s)
  Jin Ruidong、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Machine Learning
  
  Volume: 113 Issue: 4 Pages: 2093-2127
- DOI
  10.1007/s10994-023-06449-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-20H04288, KAKENHI-PROJECT-23K28141
[Journal Article] MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Matsuoka Masashi
- Journal Title
  
  Proceedings of ACM MM 2023
  
  Volume: 31 Pages: 2535-2543
- DOI
  10.1145/3581783.3613762
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-23K23009
[Journal Article] Class-Incremental Learning using Diffusion Model for Distillation and Replay2023
- Author(s)
  Jodelet Quentin、Liu Xin、Phua Yin Jun、Murata Tsuyoshi
- Journal Title
  
  Proceedings of ICCVW 2023
  
  Pages: 3425-3433
- DOI
  10.1109/iccvw60793.2023.00367
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Shinohara Takayuki、Chang Qiong、Matsuoka Masashi
- Journal Title
  
  International Journal of Applied Earth Observation and Geoinformation
  
  Volume: 116 Pages: 103150-103150
- DOI
  10.1016/j.jag.2022.103150
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-21H01579, KAKENHI-PROJECT-23K23009
[Journal Article] Feature selection: Key to enhance node classification with graph neural networks2023
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  CAAI Transactions on Intelligence Technology
  
  Volume: 8 Issue: 1 Pages: 14-28
- DOI
  10.1049/cit2.12166
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-21H04595, KAKENHI-PROJECT-20H04288
[Journal Article] Anonymity Can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-Label Graphs2023
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Yu Hai-tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Journal Title
  
  Proceedings of ECML-PKDD'22
  
  Pages: 20-36
- DOI
  10.1007/978-3-031-26390-3_2
- ISBN
  9783031263897, 9783031263903
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns2023
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Zhuang Chenyi、Yu Hai-Tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Journal Title
  
  Proceedings of ECAI 2023
  
  Pages: 583-589
- DOI
  10.3233/faia230319
- ISBN
  9781643684369, 9781643684376
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Balanced softmax cross-entropy for incremental learning with and without memory2022
- Author(s)
  Jodelet Quentin、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Computer Vision and Image Understanding
  
  Volume: 225 Pages: 103582-103582
- DOI
  10.1016/j.cviu.2022.103582
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification2022
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Proceedings of CIKM'22 (Short Paper)
  
  Pages: 4334-4338
- DOI
  10.1145/3511808.3557543
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Predicting Potential Real-time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph2022
- Author(s)
  Jin Ruidong、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Proceedings of DS'22
  
  Pages: 59-73
- DOI
  10.1007/978-3-031-18840-4_5
- ISBN
  9783031188398, 9783031188404
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs2022
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Yu Hai-tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Journal Title
  
  Remote Sensing
  
  Volume: 14 Issue: 18 Pages: 4479-4479
- DOI
  10.3390/rs14184479
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Leaping Through Time with Gradient-based Adaptation for Recommendation2022
- Author(s)
  Nuttapong Chairatanakul、Nguyen Thai Hoang、Xin Liu、Tsuyoshi Murata
- Journal Title
  
  Proceedings of AAAI'22
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Dual Cost-sensitive Graph Convolutional Network2022
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Yu Hai-tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Journal Title
  
  Proceedings of IJCNN'22
  
  Pages: 1-8
- DOI
  10.1109/ijcnn55064.2022.9892598
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes2022
- Author(s)
  Rakhimberdina Zarina、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  IEEE Access
  
  Volume: 10 Pages: 96149-96158
- DOI
  10.1109/access.2022.3204995
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Heterogeneous graph embedding with single-level aggregation and infomax encoding2022
- Author(s)
  Chairatanakul Nuttapong、Liu Xin、Hoang Nguyen Thai、Murata Tsuyoshi
- Journal Title
  
  Machine Learning
  
  Volume: 112 Issue: 11 Pages: 4227-4256
- DOI
  10.1007/s10994-022-06160-5
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Simplifying approach to node classification in Graph Neural Networks2022
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Journal of Computational Science
  
  Volume: 62 Pages: 101695-101695
- DOI
  10.1016/j.jocs.2022.101695
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Enhancing citation recommendation using citation network embedding2022
- Author(s)
  Pornprasit Chanathip、Liu Xin、Kiattipadungkul Pattararat、Kertkeidkachorn Natthawut、Kim Kyoung-Sook、Noraset Thanapon、Hassan Saeed-Ul、Tuarob Suppawong
- Journal Title
  
  Scientometrics
  
  Volume: 127 Issue: 1 Pages: 233-264
- DOI
  10.1007/s11192-021-04196-3
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Natural Image Reconstruction From fMRI Using Deep Learning: A Survey2021
- Author(s)
  Rakhimberdina Zarina、Jodelet Quentin、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Frontiers in Neuroscience
  
  Volume: 15 Pages: 1-19
- DOI
  10.3389/fnins.2021.795488
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Graph convolutional networks for graphs containing missing features2021
- Author(s)
  Taguchi Hibiki、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Future Generation Computer Systems
  
  Volume: 117 Pages: 155-168
- DOI
  10.1016/j.future.2020.11.016
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352, KAKENHI-PROJECT-21H04595, KAKENHI-PROJECT-20H04288, KAKENHI-PROJECT-17H01785
[Journal Article] Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention2021
- Author(s)
  Haoyi Xiu、Xin Liu、Weimin Wang、Kyoung-Sook Kim、Takayuki Shinohara、Qiong Chang、Masashi Matsuoka
- Journal Title
  
  Proceedings of BMVC'21
  
  Volume: - Pages: 1-14
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Balanced Softmax Cross-Entropy for Incremental Learning2021
- Author(s)
  Jodelet Quentin、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Proceedings of ICANN'21
  
  Volume: - Pages: 385-396
- DOI
  10.1007/978-3-030-86340-1_31
- ISBN
  9783030863395, 9783030863401
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph2021
- Author(s)
  Chairatanakul Nuttapong、Sriwatanasakdi Noppayut、Charoenphakdee Nontawat、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Findings of EMNLP'21
  
  Volume: - Pages: 1504-1517
- DOI
  10.18653/v1/2021.findings-emnlp.130
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12042
[Journal Article] Structure-guided attributed network embedding with “centroid” enhancement2021
- Author(s)
  Liao Zihan、Liang Wenxin、Cui Beilei、Liu Xin
- Journal Title
  
  Computing
  
  Volume: N.A. Issue: 8 Pages: 1599-1620
- DOI
  10.1007/s00607-021-00916-y
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Convolution Network2021
- Author(s)
  Zhaonan Wang、Tianqi Xia、Renhe Jiang、Xin Liu、Kyoung-Sook Kim、Xuan Song、Ryosuke Shibasaki
- Journal Title
  
  Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'21)
  
  Volume: N.A. Pages: 1751-1762
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding2021
- Author(s)
  Chairatanakul Nuttapong、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Information Sciences
  
  Volume: 570 Pages: 769-794
- DOI
  10.1016/j.ins.2021.04.070
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-21H04595, KAKENHI-PROJECT-20H04288, KAKENHI-PROJECT-17H01785
[Journal Article] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction2021
- Author(s)
  Wang Zhaonan、Jiang Renhe、Cai Zekun、Fan Zipei、Liu Xin、Kim Kyoung-Sook、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  Proceedings of 30th ACM International Conference on Information and Knowledge Management (CIKM)
  
  Volume: - Pages: 2060-2069
- DOI
  10.1145/3459637.3482482
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19859, KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-20K19782
[Journal Article] Graph Neural Networks for Fast Node Ranking Approximation2021
- Author(s)
  Sunil Kumar Maurya、Xin Liu、Tsuyoshi Murata
- Journal Title
  
  ACM Transactions on Knowledge Discovery from Data
  
  Volume: N.A.
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks2021
- Author(s)
  Jin Ruidong、Xia Tianqi、Liu Xin、Murata Tsuyoshi、Kim Kyoung-Sook
- Journal Title
  
  IEEE Access
  
  Volume: 9 Pages: 9903-9915
- DOI
  10.1109/access.2021.3050607
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352, KAKENHI-PROJECT-17H01785
[Journal Article] ConvCN: A CNN Based Citation Network Embedding Algorithm towards Citation Recommendation2020
- Author(s)
  Chanathip Pornprasit、Xin Liu、Natthawut Kertkeidkachorn、Kyoung-Sook Kim、Thanapon Noraset、Suppawong Tuarob
- Journal Title
  
  Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020)
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision2020
- Author(s)
  Leblay Julien、Chekol Melisachew Wudage、Liu Xin
- Journal Title
  
  Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM'20)
  
  Volume: N.A. Pages: 685-694
- DOI
  10.1145/3340531.3412028
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder2020
- Author(s)
  Rakhimberdina Zarina、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Sensors
  
  Volume: 20 Issue: 21 Pages: 6001-6001
- DOI
  10.3390/s20216001
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] BiMLPA: Community Detection in Bipartite Networks by Multi-Label Propagation2020
- Author(s)
  Taguchi Hibiki、Murata Tsuyoshi、Liu Xin
- Journal Title
  
  Proceedings of the 6th International Winter School and Conference on Network Science (NetSci-X’20)
  
  Volume: - Pages: 17-31
- DOI
  10.1007/978-3-030-38965-9_2
- ISBN
  9783030389642, 9783030389659
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization2020
- Author(s)
  Choong Jun Jin、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Entropy
  
  Volume: 22 Issue: 2 Pages: 197-197
- DOI
  10.3390/e22020197
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding2020
- Author(s)
  Kertkeidkachorn Natthawut、Liu Xin、Ichise Ryutaro
- Journal Title
  
  Advances in Artificial Intelligence
  
  Volume: - Pages: 170-178
- DOI
  10.1007/978-3-030-39878-1_16
- ISBN
  9783030398774, 9783030398781
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Fast Approximations of Betweenness Centrality with Graph Neural Networks2019
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19)
  
  Volume: - Pages: 2149-2152
- DOI
  10.1145/3357384.3358080
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352, KAKENHI-PROJECT-17H01785
[Journal Article] Optimizing Variational Graph Autoencoder for Community Detection2019
- Author(s)
  Choong Jun Jin、Liu Xin、Murata Tsuyoshi
- Journal Title
  
  Proceedings of the IEEE International Conference on Big Data Workshops (IEEE BigData Workshop'19)
  
  Volume: - Pages: 5353-5358
- DOI
  10.1109/bigdata47090.2019.9006123
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] How much topological structure is preserved by graph embeddings?2019
- Author(s)
  Liu Xin、Zhuang Chenyi、Murata Tsuyoshi、Kim Kyoung-Sook、Kertkeidkachorn Natthawut
- Journal Title
  
  Computer Science and Information Systems
  
  Volume: 16 Issue: 2 Pages: 597-614
- DOI
  10.2298/csis181001011l
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20352
[Journal Article] Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation2019
- Author(s)
  Chairatanakul Nuttapong、Murata Tsuyoshi、Liu Xin
- Journal Title
  
  IEEE Access
  
  Volume: 7 Pages: 131567-131576
- DOI
  10.1109/access.2019.2941083
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise2024
- Author(s)
  Hasegawa Tai、Yun Sukwon、Liu Xin、Phua Yin Jun、Murata Tsuyoshi
- Organizer
  The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise2024
- Author(s)
  Tai Hasegawa、Liu Xin、Murata Tsuyoshi
- Organizer
  The 28th Pacific-Asia Conference on Knowledge Discovery and Data Minig(PAKDD 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28141
[Presentation] Class-Incremental Learning using Diffusion Model for Distillation and Replay2023
- Author(s)
  Jodelet Quentin、Liu Xin、Phua Yin Jun、Murata Tsuyoshi
- Organizer
  IEEE/CVF International Conference on Computer Vision Workshop (ICCVW 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Matsuoka Masashi
- Organizer
  The 31st ACM International Conference on Multimedia (ACM MM 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling2023
- Author(s)
  Xiu Haoyi、Liu Xin、Wang Weimin、Kim Kyoung-Sook、Shinohara Takayuki、Chang Qiong、Matsuoka Masashi
- Organizer
  The 29th International Conference on Multimedia Modeling (MMM'23)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns2023
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Zhuang Chenyi、Yu Hai-Tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Organizer
  The 26th European Conference on Artificial Intelligence (ECAI 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Anonymity Can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-Label Graphs2022
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Yu Hai-tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Organizer
  The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Dual Cost-sensitive Graph Convolutional Network2022
- Author(s)
  Duan Yijun、Liu Xin、Jatowt Adam、Yu Hai-tao、Lynden Steven、Kim Kyoung-Sook、Matono Akiyoshi
- Organizer
  The 2022 International Joint Conference on Neural Networks (IJCNN'22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification2022
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Organizer
  The 31st ACM International Conference on Information and Knowledge Management (CIKM'22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Predicting Potential Real-time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph2022
- Author(s)
  Jin Ruidong、Liu Xin、Murata Tsuyoshi
- Organizer
  The 25th International Conference on Discovery Science (DS'22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12042
[Presentation] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Convolution Network2021
- Author(s)
  Zhaonan Wang、Tianqi Xia、Renhe Jiang、Xin Liu、Kyoung-Sook Kim、Xuan Song、Ryosuke Shibasaki
- Organizer
  The 37th IEEE International Conference on Data Engineering (ICDE'21)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] BiMLPA: Community Detection in Bipartite Networks by Multi-Label Propagation2020
- Author(s)
  Taguchi Hibiki、Murata Tsuyoshi、Liu Xin
- Organizer
  The 6th International Winter School and Conference on Network Science (NetSci-X’20)
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision2020
- Author(s)
  Leblay Julien、Chekol Melisachew Wudage、Liu Xin
- Organizer
  The 29th ACM International Conference on Information & Knowledge Management (CIKM'20)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] ConvCN: A CNN Based Citation Network Embedding Algorithm towards Citation Recommendation2020
- Author(s)
  Chanathip Pornprasit、Xin Liu、Natthawut Kertkeidkachorn、Kyoung-Sook Kim、Thanapon Noraset、Suppawong Tuarob
- Organizer
  ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020)
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding2020
- Author(s)
  Kertkeidkachorn Natthawut、Liu Xin、Ichise Ryutaro
- Organizer
  Annual Conference of the Japanese Society for Artificial Intelligence
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] Optimizing Variational Graph Autoencoder for Community Detection2019
- Author(s)
  Choong Jun Jin、Liu Xin、Murata Tsuyoshi
- Organizer
  The IEEE International Conference on Big Data Workshops (IEEE BigData Workshop'19)
- Data Source
  KAKENHI-PROJECT-19K20352
[Presentation] Fast Approximations of Betweenness Centrality with Graph Neural Networks2019
- Author(s)
  Maurya Sunil Kumar、Liu Xin、Murata Tsuyoshi
- Organizer
  The 28th ACM International Conference on Information and Knowledge Management (CIKM’19)
- Data Source
  KAKENHI-PROJECT-19K20352

1. 村田剛志 (90242289)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. 姜仁河

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Liu Xin 劉 欣

LIU XIN 劉 欣

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不完全データにおけるグラフ学習：理論構築と革新的実応用Principal Investigator

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Deepening the technologies of graph neural networks

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Neural Network based Graph Learning: Model Evolution and Real-World ApplicationPrincipal Investigator

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Bipartite Graph Embedding: As A Unified FrameworkPrincipal Investigator

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[Journal Article] Predicting popularity trend in social media networks with multi-layer temporal graph neural networks2024

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[Journal Article] DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise2024

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[Journal Article] Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling2023

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[Journal Article] Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation2023

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[Journal Article] Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs2023

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[Journal Article] MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning2023

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[Journal Article] Class-Incremental Learning using Diffusion Model for Distillation and Replay2023

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[Journal Article] DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds2023

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[Journal Article] Feature selection: Key to enhance node classification with graph neural networks2023

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[Journal Article] Anonymity Can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-Label Graphs2023

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Liu Xin 劉欣

LIU XIN 劉欣