Journal article
Tradeoff Options for Bipartite Graph Partitioning
J Mackenzie, M Petri, A Moffat
IEEE Transactions on Knowledge and Data Engineering | IEEE COMPUTER SOC | Published : 2023
Abstract
Web connectivity graphs and similar linked data such as inverted indexes are important components of the information access systems provided by social media and web search services. The Bipartite Graph Partitioning mechanism of Dhulipala et al. [KDD 2016] relabels the vertices of large sparse graphs, seeking to enhance compressibility and thus reduce the storage space occupied by these costly structures. Here we develop a range of algorithmic and heuristic refinements to Bipartite Graph Partitioning (BP) that lead to faster computation of space-reducing vertex orderings whilst continuing to apply the same broad algorithmic paradigm. Using a range of web graph and information retrieval system..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by the Australian Research Council under Grant DP200103136.