期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 227 ()
In this work, we propose a novel Knowledge Graph Embedding (KGE) strategy, called MobiusE, in which the entities and relations are embedded to the sur......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 228 ()
Most existing popular methods for learning graph embedding only consider fixed-order global structural features but lack hierarchical representation f......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 218 ()
With the widespread use of smartphones, Android malware has posed serious threats to its security. Given the explosive growth of Android malware varia......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 219 ()
Large-scale multiattribute group decision-making (LMGDM) requires a large number of participants with different knowledge structures. This study propo......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 220 ()
As an important building block in automatic medical systems, image segmentation has made great progress due to the data-driving mechanism of deep arch......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 222 ()
Network representation learning aims to project nodes in a network into low-dimensional continuous vector space while preserving the network structure......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 224 ()
Due to their success at node classification, Graph Convolutional Networks (GCN) have raised a research upsurge of deep learning on graph-structured da......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 225 ()
Since the hierarchical task network (HTN) planning depends on the domain knowledge of the problem, the planning result relies on the writing order of ......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 226 ()
Grey wolf optimizer is a novel swarm intelligent algorithm. It has received lots of interest from the heuristic algorithm community for its superior o......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 227 ()
To find the important nodes in complex networks is a fundamental issue. A number of methods have been recently proposed to address this problem but mo......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 227 ()
Noise label exists widely in real-world data, resulting in the degradation of classification performance. Popular methods require a known noise distri......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 227 ()
Emotion distribution learning aims to annotate unlabeled instances with a set of emotion categories and their strengths. Non-negative Matrix Tri-Facto......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 228 ()
Support vector machine (SVM) is one of the extremely effective classification tools, which has been widely employed in real-world applications. Howeve......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 217 ()
Recent studies have shown the satisfactory results of the matrix factorization technique in Multi-view Clustering (MVC). Compared with the single-laye......
期刊： KNOWLEDGE-BASED SYSTEMS, 2021; 218 ()
Because of its efficiency, word embedding has been widely used in many natural language processing and text modeling tasks. It aims to represent each ......
