受强制性开放获取政策约束的文章 - Tsuyoshi Murata了解详情
无法在其他位置公开访问的文章：2 篇
Community detection in multi-partite multi-relational networks based on information compression
X Liu, W Liu, T Murata, K Wakita
New Generation Computing 34, 153-176, 2016
强制性开放获取政策： 国家自然科学基金委员会
A unified modularity by encoding the similarity attraction feature into the null model
X Liu, T Murata, K Wakita
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：7 篇
Simplifying approach to node classification in graph neural networks
SK Maurya, X Liu, T Murata
Journal of Computational Science 62, 101695, 2022
强制性开放获取政策： Japan Science and Technology Agency
A framework for community detection in heterogeneous multi-relational networks
X Liu, W Liu, T Murata, K Wakita
Advances in Complex Systems 17 (06), 1450018, 2014
强制性开放获取政策： 国家自然科学基金委员会
Balanced softmax cross-entropy for incremental learning with and without memory
Q Jodelet, X Liu, T Murata
Computer Vision and Image Understanding 225, 103582, 2022
强制性开放获取政策： Japan Science and Technology Agency
Detecting network communities beyond assortativity-related attributes
X Liu, T Murata, K Wakita
Physical Review E 90 (1), 012806, 2014
强制性开放获取政策： 国家自然科学基金委员会
Heterogeneous graph embedding with single-level aggregation and infomax encoding
N Chairatanakul, X Liu, NT Hoang, T Murata
Machine Learning 112 (11), 4227-4256, 2023
强制性开放获取政策： Japan Science and Technology Agency
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes
Z Rakhimberdina, X Liu, T Murata
IEEE Access 10, 96149-96158, 2022
强制性开放获取政策： Japan Science and Technology Agency
Leaping through Time with Gradient-Based Adaptation for Recommendation
N Chairatanakul, NT Hoang, X Liu, T Murata
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6141-6149, 2022
强制性开放获取政策： Japan Science and Technology Agency
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