ArticleProceedings. IEEE International Conference on Data Mining2015
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
Article in Proceedings. IEEE International Conference on Data Mining, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Survey on graph embeddings and their applications to machine learning problems on graphs.PeerJ. Computer science · 2021Article
- ComClus: A Self-Grouping Framework for Multi-Network Clustering.IEEE transactions on knowledge and data engineering · 2018Article
- A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.BMC bioinformatics · 2017Article
- Towards Optimal Connectivity on Multi-layered Networks.IEEE transactions on knowledge and data engineering · 2017Article
- Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.ACM transactions on knowledge discovery from data · 2017Article
- Self-Grouping Multi-Network Clustering.Proceedings. IEEE International Conference on Data Mining · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Network clustering is an important problem that has recently drawn a lot of attentions. Most existing work focuses on clustering nodes within a single network. In many applications, however, there exist
Identifiers
What OpenQuestion holds
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.