Results 231 to 240 of about 1,011,259 (278)

Topological Ring Currents in Open-Shell Homologues of Clar's Goblet and Triangulene. [PDF]

J Phys Chem A
Dickens TK, Mallion RB.
europepmc   +1 more source

Efficient Circuit Implementations of Continuous-Time Quantum Walks for Quantum Search. [PDF]

Entropy (Basel)
Portugal R, Moqadam JK.
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Multi-view fusion based on graph convolutional network with attention mechanism for predicting miRNA related to drugs. [PDF]

PLoS Comput Biol
Sheng N, Liu Y, Gao L, Wang L, Huang L, Wang Y.   +5 more
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Clustering coefficient reflecting pairwise relationships within hyperedges. [PDF]

Sci Rep
Miyashita R, Hironaka S, Shudo K.
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Bigraphdriver: A Dual Bipartite Graph and Multi-Omics Diffusion Framework for Cancer Driver Gene Identification

Ren Yingzan, Jiaxin Chen, Ming‐Yi Wang, Yusen Zhang   +3 more
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Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter

IEEE Transactions on Knowledge and Data Engineering, 2023
Unsupervised bipartite graph learning has been a hot topic in multi-view clustering, to tackle the restricted scalability issue of traditional full graph clustering in large-scale applications.
Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li   +5 more
semanticscholar   +1 more source

Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors

IEEE Transactions on Knowledge and Data Engineering, 2023
Graph-based semi-supervised learning, which further utilizes graph structure behind samples for boosting semi-supervised learning, gains convincing results in several machine learning tasks.
Zhen Wang, Long Zhang, Rong Wang, F. Nie, Xuelong Li   +4 more
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Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph

Computer Vision and Pattern Recognition, 2022
Multiview clustering has received increasing attention due to its effectiveness in fusing complementary information without manual annotations. Most previous methods hold the assumption that each instance appears in all views. However, it is not uncommon
Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu   +7 more
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Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph

IEEE Transactions on Neural Networks and Learning Systems, 2023
Anchor technology is popularly employed in multi-view subspace clustering (MVSC) to reduce the complexity cost. However, due to the sampling operation being performed on each individual view independently and not considering the distribution of samples ...
Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Z. Luo, Xinwang Liu, En Zhu   +6 more
semanticscholar   +1 more source

Fast Flexible Bipartite Graph Model for Co-Clustering

IEEE Transactions on Knowledge and Data Engineering, 2023
Co-clustering methods make use of the correlation between samples and attributes to explore the co-occurrence structure in data. These methods have played a significant role in gene expression analysis, image segmentation, and document clustering.
Wei Chen, Hongjun Wang, Zhiguo Long, Tianrui Li   +3 more
semanticscholar   +1 more source