Suchergebnisse - "graph representation algorithm"

Automatic graph representation algorithm for heterogeneous catalysis von Gariepy, Zachary, Chen, ZhiWen, Tamblyn, Isaac, Singh, Chandra Veer, Tetsassi Feugmo, Conrard Giresse

“… One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of …”
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A Star Identification Graph Algorithm Based on Angular Distance Matching Score Transfer von Wei, Yuheng, Wei, Xinguo, Liu, Hao, Li, Jian

“… The successful identification of stars is a fundamental prerequisite for satellite attitude determination by star sensors. Conventional star identification …”
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Automatic graph representation algorithm for heterogeneous catalysis von Gariepy, Zachary, Chen, ZhiWen, Tamblyn, Isaac, Chandra Veer Singh, Conrard Giresse Tetsassi Feugmo

“… One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of …”
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A Forwarding Prediction Model of Social Network based on Heterogeneous Network von Xie, Tianyu, Wu, Chunhua, Zheng, Kangfeng

“… between them. In this paper, we construct a weighted heterogeneous network based on users and information, and propose an improved heterogeneous network graph representation algorithm Mpath-wMetapath2vec …”
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Secuer: Ultrafast, scalable and accurate clustering of single-cell RNA-seq data von Wei, Nana, Nie, Yating, Liu, Lin, Zheng, Xiaoqi, Wu, Hua-Jun

“… By employing an anchor-based bipartite graph representation algorithm, Secuer enjoys reduced runtime and memory usage over one order of magnitude for datasets with more than 1 million cells …”
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Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis von Li, Jiawen, Chen, Yuxuan, Chu, Hongbo, Sun, Qiehe, Guan, Tian, Han, Anjia, He, Yonghong

“… at arbitrary locations, particularly when spatially distant. In response, we propose a novel dynamic graph representation algorithm that conceptualizes WSIs as a form of the knowledge graph structure …”
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PhiKitA: Phishing Kit Attacks dataset for Phishing Websites Identification von Castano, Felipe, Fernandez, Eduardo Fidalgo, Alaiz-Rodriguez, Rocio, Alegre, Enrique

“… Recent studies have shown that phishers are using phishing kits to deploy phishing attacks faster, easier and more massive. Detecting phishing kits in deployed …”
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Efficiently Transfer User Profile Across Networks von Diao, Mengting, Zhang, Zhongbao, Su, Sen, Gao, Shuai, Cao, Huafeng, Ye, Junda

“… User profiling has very important applications for many downstream tasks. Most existing methods only focus on modeling user profiles of one social network with …”
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Secuer: ultrafast, scalable and accurate clustering of single-cell RNA-seq data von Wei, Nana, Nie, Yating, Liu, Lin, Zheng, Xiaoqi, Hua-Jun Wu4

“… By employing an anchor-based bipartite graph representation algorithm, Secuer enjoys reduced runtime and memory usage by orders of magnitude, especially for ultra-large datasets profiling over 1 …”
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A Novel Disease Prediction Method Based on Inductive Representation Learning von Wang, Jianlin, Ma, Xu, Song, Renyu, Yan, Chaokun, Luo, Huimin

“… Using rich imaging and non-imaging information to complete the disease prediction task, the model is required to simultaneously represent individual …”
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Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis von Li, Jiawen, Chen, Yuxuan, Chu, Hongbo, Sun, Qiehe, Guan, Tian, Han, Anjia, He, Yonghong

“… at arbitrary locations, particularly when spatially distant. In response, we propose a novel dynamic graph representation algorithm that conceptualizes WSIs as a form of the knowledge graph structure …”
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Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes von Wang, Hao, Liu, Ruonan, Ding, Steven X., Hu, Qinghua, Li, Zengxiang, Zhou, Hongkuan

“… Therefore, graph representation algorithms are powerful tools for fault diagnosis of industrial systems …”
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Graph Representation Learning Meets Computer Vision: A Survey von Jiao, Licheng, Chen, Jie, Liu, Fang, Yang, Shuyuan, You, Chao, Liu, Xu, Li, Lingling, Hou, Biao

“… A graph structure is a powerful mathematical abstraction, which can not only represent information about individuals but also capture the interactions between …”
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Smooth Non-negative Low-Rank Graph Representation for Clustering von QIAN Luoxiong, CHEN Mei, ZHANG Chi, ZHANG Jinhong, MA Xueyan

“… The existing low-rank graph representation algorithms fail to capture the global representation structure of data accurately, and cannot make full use of the valid information of data to guide …”
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Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks von Song, Zhiwei, Baur, Brittany A, Roy, Sushmita

“… Graphs provide ubiquitous powerful representations of interacting components in many complex systems. In molecular biology, graphs are used to represent …”
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平滑非负低秩图表示聚类算法 von 钱罗雄, 陈梅, 张弛, 张锦宏, 马学艳

“… TP311; 针对现有低秩图表示算法在构建表示图时未能精确捕获数据的全局表示结构、未能充分利用数据有效信息指导表示图的构建以及构建的表示图不具有适于聚类的连通结构等问 …”
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Sparse Graph Representation and Its Applications von Han, Shuchu

“… In this thesis, we build novel sparse and nonparametric graph representation algorithms for unsupervised learning …”
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High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding von Bourne, Jonathan

“… This paper explores whether graph embedding methods can be used as a tool for analysing the robustness of power-grids within the framework of network science …”
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Semantic node embeddings of distributed graphs using apache spark von Narayanan, V. Suriya, Vijayakumar, Vijeth Bidare, Venkatraman, Sai Raam, Baruah, Pallav Kumar

“… Recently, Natural language processing (NLP)-based graph representation algorithms have been developed …”
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