Scaling fine-grained modularity clustering for massive graphs

H Shiokawa, T Amagasa, H Kitagawa - arXiv preprint arXiv:1905.11275, 2019 - arxiv.org
Modularity clustering is an essential tool to understand complicated graphs. However,
existing methods are not applicable to massive graphs due to two serious weaknesses.(1) It …

[PDF][PDF] Scaling Fine-grained Modularity Clustering for Massive Graphs

H Shiokawa, T Amagasa, H Kitagawa - ijcai.org
Modularity clustering is an essential tool to understand complicated graphs. However,
existing methods are not applicable to massive graphs due to two serious weaknesses.(1) It …

Scaling fine-grained modularity clustering for massive graphs

H Shiokawa, T Amagasa, H Kitagawa - Proceedings of the 28th …, 2019 - dl.acm.org
Modularity clustering is an essential tool to understand complicated graphs. However,
existing methods are not applicable to massive graphs due to two serious weaknesses.(1) It …

[PDF][PDF] Scaling Fine-grained Modularity Clustering for Massive Graphs

H Shiokawa, T Amagasa, H Kitagawa - qiniu.pattern.swarma.org
Modularity clustering is an essential tool to understand complicated graphs. However,
existing methods are not applicable to massive graphs due to two serious weaknesses.(1) It …

Scaling Fine-grained Modularity Clustering for Massive Graphs

H Shiokawa, T Amagasa, H Kitagawa - Proceedings of the Twenty …, 2019 - cir.nii.ac.jp
抄録< jats: p> Modularity clustering is an essential tool to understand complicated graphs.
However, existing methods are not applicable to massive graphs due to two serious …

Scaling Fine-grained Modularity Clustering for Massive Graphs

H Shiokawa, T Amagasa, H Kitagawa - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Modularity clustering is an essential tool to understand complicated graphs. However,
existing methods are not applicable to massive graphs due to two serious weaknesses.(1) It …

[引用][C] Scaling Fine-grained Modularity Clustering for Massive Graphs

H Shiokawa