ArticlePatterns (New York, N.Y.)2026
Graphlet- and motif-based link prediction in large networks.
Article in Patterns (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Graphlet- and motif-based link prediction in large networks.Patterns (New York, N.Y.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Link prediction is important across biological, social, and technological networks, but many methods either require domain-specific node attributes, do not scale to large graphs, or miss higher-order topology. We present BLANT-Predict, a topology-only framework that uses sampled graphlets and orbit-pair frequencies to rank likely missing edges. Across 12 real-world networks (up to about 1 million nodes and 3 million edges), we compare against 13 baseline methods and observe higher precision with strong scalability. Beyond standard
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.