Search Results - Performance Keywords graph algorithms

Using the Ship-Gram Model for Japanese Keyword Extraction Based on News Reports by Teng, Miao

“…In this paper, we conduct an in-depth study of Japanese keyword extraction from news reports, train external computer document word sets from text preprocessing into word vectors using the Ship-gram…”
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Adaptive sign algorithm for graph signal processing by Yan, Yi, Kuruoglu, Ercan E., Altinkaya, Mustafa A.

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Keyphrase extraction using graph-based statistical approach with NLP patterns by Mehta, Siddhesh, Karwa, Rushikesh, Chavan, Rahul, Khatavkar, Vaibhav, Joshi, Amit

“… This research paper introduces a novel approach to extract keyphrases using a statistical approach based on graphs that incorporates degree centrality, TextRank, closeness, and betweenness measures…”
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Predicting co-word links via heterogeneous graph convolutional networks by Li, Yangmin, Zhang, Xin, Bai, Xin, Bai, Sen, Jiang, Zhengang

“… Nevertheless, few existing methods have explored end-to-end deep models, impeded by the limitations of text graph models in learning both word co-occurrence and word-document relations implicit in co…”
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A multi-centrality index for graph-based keyword extraction by Vega-Oliveros, Didier A., Gomes, Pedro Spoljaric, E. Milios, Evangelos, Berton, Lilian

“…•Centrality measures are correlated and with statistical similar performance when finding keyword…”
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Graph Matching by Simplified Convex-Concave Relaxation Procedure by Liu, Zhi-Yong, Qiao, Hong, Yang, Xu, Hoi, Steven C. H.

“…The convex and concave relaxation procedure (CCRP) was recently proposed and exhibited state-of-the-art performance on the graph matching problem…”
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DKWS: A Distributed System for Keyword Search on Massive Graphs by Jiang, Jiaxin, Choi, Byron, Huang, Xin, Xu, Jianliang, Bhowmick, Sourav S

“…Due to the unstructuredness and the lack of schemas of graphs, such as knowledge graphs, social networks, and RDF graphs, keyword search for querying such graphs has been proposed…”
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An effective keyword search co-occurrence multi-layer graph mining approach by Bolorunduro, Janet Oluwasola, Zou, Zhaonian, Bah, Mohamed Jaward

“… structures into embedding by utilizing specific pre-defined metrics. Co-occurrence graphs and keyword searches are the foundation of search engine optimizations for diverse real-world applications…”
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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review by Boukham, Houda, Younsi Dahbi, Kawtar, Chiadmi, Dalila

“…) to support graph processing operations. These DSLs fall into two categories: query-based DSLs for graph-pattern matching and graph algorithm DSLs…”
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A Graph Convolutional Network-Based Sensitive Information Detection Algorithm by Liu, Ying, Yang, Chao-Yu, Yang, Jie

“… For improvement purposes, this paper proposes a novel self-attention-based detection algorithm using the implementation of graph convolutional network (GCN…”
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A semantic graph-based keyword extraction model using ranking method on big social data by Devika, R., Subramaniyaswamy, V.

“… Existing graph-based methods consider only numeric measures such as centrality, degree, and betweenness for keyword extraction…”
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Optimizing document management and retrieval with multimodal transformers and knowledge graphs by Chen, Yali, Hu, Bin, Liu, Yajuan

“… To address this issue, this paper proposes the MDKG-RL model, which organically integrates knowledge graph reasoning, deep reinforcement learning dynamic optimization, and multimodal Transformer…”
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A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs by Jiang, Jiaxin, Choi, Byron, Xu, Jianliang, Bhowmick, Sourav S

“…Due to the unstructuredness and the lack of schema information of knowledge graphs, social networks and RDF graphs, keyword search has been proposed for querying such graphs/networks…”
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Understanding the domain of driving distraction with knowledge graphs by Xu, Wenxia, Feng, Lei, Ma, Jun

“…This paper aims to provide insight into the driving distraction domain systematically on the basis of scientific knowledge graphs…”
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Efficient keyword search on graph data for finding diverse and relevant answers by Park, Chang-Sup

“… This study aims to propose an efficient keyword search algorithm on graph data to find top-k answers that are most relevant to the query and have diverse content nodes for the input keyword…”
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Path Planning Under Kinematic Constraints by Rapidly Exploring Manifolds by Jaillet, L., Porta, J. M.

“… This paper presents the AtlasRRT algorithm, which is a planner especially tailored for such constrained systems that builds on recently developed tools for higher-dimensional continuation…”
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An efficient approach for searching optimal multi-keywords coverage routes by Yang, Rong, Niu, Baoning, Jin, Pengfei

“… Motivated by this, we propose an algorithm called Keyword-aware Skyline Route Generating (KSRG*). KSRG* consists of a preprocessing stage, in which KSRG…”
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Keyword-based Socially Tenuous Group Queries by Zhu, Huaijie, Liu, Wei, Yin, Jian, Cui, Ningning, Xu, Jianliang, Huang, Xin, Lee, Wang-Chien

“…s. To address the KTG problem, we first propose two exact algorithms, namely KTG-VKC and KTG-VKC-DEG, which give priority to the valid keyword coverage and the combination…”
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A survey study on task scheduling schemes for workflow executions in cloud computing environment: classification and challenges by Hosseini Shirvani, Mirsaeid

“… Since task scheduling algorithms for workflow executions determine which task should be possibly executed on what resources, they have a drastic impact on both the…”
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Name Disambiguation Based on Graph Convolutional Network by Chen, Ya, Yuan, Hongliang, Liu, Tingting, Ding, Nan

“…: clustering based on attribute features and clustering based on linkage information. They cannot however get high performance…”
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