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A Label-based Edge Partitioning for Multi-Layer Graphs
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由 C Constantin 著作2019 — In this work, we propose a novel approach to achieve edge partitioning for multi-layer graphs, which considers both structural and edge-types (labels) ...
A Label-based Edge Partitioning for Multi-Layer Graphs
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由 C Constantin 著作2019 — In this work, we propose a novel approach to achieve edge partitioning for multi-layer graphs, which considers both structural and edge-types (labels) ...
A Label-based Edge Partitioning for Multi-Layer Graphs
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由 C Constantin 著作2019 — A Label-based Edge Partitioning for Multi-Layer Graphs ...
An Edge-Based Approach to Partitioning and Overlapping ...
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由 R Tariq 著作2023被引用 1 次 — This study proposes an approach to partitioning and overlapping clustering of undirected unweighted graphs, allowing users to specify the required density of ...
A Variational Edge Partition Model for Supervised Graph...
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由 Y He 著作2022被引用 6 次 — This paper introduces a graph generative process to model how the observed edges are generated by aggregating the node interactions over a set ...
Label Propagation-Based Parallel Graph Partitioning for ...
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This study presents a novel graph-partitioning algorithm that ensures a high edge cutting quality and excellent parallel processing performance and applies ...
Distributed Deep Multilevel Graph Partitioning
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由 P Sanders 著作2023被引用 10 次 — We describe the engineering of the distributed-memory multilevel graph partitioner dKaMinPar. It scales to (at least) 8192 cores while achieving partitioning ...
An example of the graph partitioning algorithm based on ...
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Through experiments on six real-world graphs, we demonstrate that PeGaSus is (a) Effective: node-similarity queries for target nodes can be answered ...
A large-scale graph partition algorithm with redundant multi ...
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由 H Cui 著作2024被引用 2 次 — This paper proposes a graph partition algorithm to store the multi-order neighbor vertices redundantly to avoid the communication requirement.
Edge partitioning of large graphs - TEL - Thèses en ligne
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由 Y Li 著作2017被引用 1 次 — For this reason, our work is extended to multi-layer graphs with taking into account the edges closeness and labels distribution during partitioning process.