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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
Why Binary Merge?
Journal of Cognitive Science
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COVID-19 patients classification using Graph neural network on a Heterogeneous graph
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Balance_2022
International Digital Design Invitation Exhibition
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Spatial Learning and Motor Deficits in Vacuolar Protein Sorting-associated Protein 13b (Vps13b) Mutant Mouse
Experimental Neurobiology
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Graph Data Augmentation Framework Node Based on Correlation and LSH Sampling in Heterogeneous Graph Environments
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Scene Graph Similarity Measurement Scheme Using Graph Embedding
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Graph Stream Partitioning Method for Distributed Management of Graph Data
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A Graph Repartitioning Method Over Dynamic Graph Data
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MapReduce based Graph Compression Method for Processing Graph Streams
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A Study on Condition-based Maintenance Plus Analysis Using Knowledge Graph
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Merge into
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2023 .12
Merge
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Graph Algorithm Processing Scheme Based on Graph Partitioning in GPU Environments
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Efficient Historical Graph Data Management Scheme
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In-memory Based Compression on Dynamic Graphs
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A Graph Neural Network for Spatiotemporal Dynamics Prediction
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Node
International Digital Design Invitation Exhibition
2018 .07
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