不可比拟
发表于 2025-3-25 05:11:06
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漂泊
发表于 2025-3-25 09:16:13
Partial Solutions for Patient Safetyletion methods are known to be primarily knowledge embedding based models, which are broadly classified as translational models and neural network models. However, both kinds of models are single-task based models and hence fail to capture the underlying inter-structural relationships that are inher
phytochemicals
发表于 2025-3-25 12:47:33
Multi-job Merging Framework and Scheduling Optimization for Apache Flinkighlighted as follows: (1) the framework enables Flink to support multi-job collection, merging and dynamic tuning of the execution sequence, and the selection of these functions are customizable. (2) with the multi-job merging and optimization, the total running time can be reduced by 31% compared
stress-response
发表于 2025-3-25 19:07:06
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花费
发表于 2025-3-25 19:58:27
vRaft: Accelerating the Distributed Consensus Under Virtualized Environments followers to accelerate both the write and the read requests processing in a virtualized cloud environment, without affecting the linearizability guarantee of Raft. The experiments based on the virtual nodes in Tencent Cloud indicate that vRaft improves the throughput by up to 64.2%, reduces averag
Inscrutable
发表于 2025-3-26 03:45:18
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背信
发表于 2025-3-26 07:18:18
Label Contrastive Coding Based Graph Neural Network for Graph Classificationc label memory bank and a momentum updated encoder. Our extensive evaluations with eight benchmark graph datasets demonstrate that LCGNN can outperform state-of-the-art graph classification models. Experimental results also verify that LCGNN can achieve competitive performance with less training dat
共栖
发表于 2025-3-26 11:57:36
Keyword-Centric Community Search over Large Heterogeneous Information Networks design an advanced algorithm .-core using a new method of traversing the search space based on trees to accelerate the searching procedure. For online queries, we optimize the approach with a new index to handle the online queries of community search over HINs. Extensive experiments on HINs are con
和平主义
发表于 2025-3-26 15:01:36
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graphedge information into their semantic features. We conduct extensive experiments to demonstrate the effectiveness of our . in leveraging the knowledge graph. The experimental results show that the . improves the state-of-the-art methods by 14.7% in terms of hits@3 in the offline evaluation and outper
虚假
发表于 2025-3-26 18:17:01
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