DBScholar

Back to papers

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs

Summary: GraSorw is an I/O-efficient disk-based graph system for scalable second-order random walks on large graphs. Key innovations: bi-block engine turning random I/Os into sequential I/Os, bucket-based walk management, skewed-walk storage, and a learning-based block loader. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12854
Venue
VLDB
Year
2022
Pagerank
5.6755554e-05
Overall Rank
7,201 | 50.60%
DOI
10.14778/3529337.3529346

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb22,
        title = {{An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs}},
        author = {Li, Hongzheng and Shao, Yingxia and Du, Junping and Cui, Bin and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {8},
        pages = {1619--1631},
        doi = {10.14778/3529337.3529346},
        url = {https://doi.org/10.14778/3529337.3529346},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers