Synthetic graphs for link prediction benchmarking
Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. Here we investigate the interplay between algorithm efficiency and network structures through the introduction of suitably-designed synthetic graphs. We propose a...
Saved in:
Main Authors: | Alexey Vlaskin, Eduardo G Altmann |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | Journal of Physics: Complexity |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-072X/ada07f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Link prediction method based on complex network dynamics model
by: Yonghao PAN, et al.
Published: (2019-12-01) -
Neural network-based link prediction algorithm
by: Yonghao PAN, et al.
Published: (2018-07-01) -
Theoretical limit of link prediction using a combination method
by: Yiteng WU, et al.
Published: (2020-06-01) -
Link prediction method based on matching degree of resource transmission for complex network
by: Shuxin LIU, et al.
Published: (2020-06-01) -
Implicit link prediction based on extended social graph
by: Ling Xing, et al.
Published: (2024-12-01)