ReviewiScience2021
Progresses and challenges in link prediction.
Review in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Predicting missing links in food webs using stacked models and species traits.Nature communications · 2026Article
- Mechanism-aware and safety-validated AI for drug repurposing: a critical review and translational pharmacology framework.Frontiers in pharmacology · 2026Review
- Node2Vec-DGI-EL: a hierarchical graph representation learning model for ingredient-disease association prediction.Bioinformatics advances · 2026Article
- Bias-aware training and evaluation of link prediction algorithms in network biology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm.PloS one · 2025Article
- Inconsistency among evaluation metrics in link prediction.PNAS nexus · 2024Article
- The maximum capability of a topological feature in link prediction.PNAS nexus · 2024Article
- On the complexity of quantum link prediction in complex networks.Scientific reports · 2024Article
- Learning low-rank latent mesoscale structures in networks.Nature communications · 2024Article
- Link prediction accuracy on real-world networks under non-uniform missing-edge patterns.PloS one · 2024Article
- Potential Target Discovery and Drug Repurposing for Coronaviruses: Study Involving a Knowledge Graph-Based Approach.Journal of medical Internet research · 2023Article
- HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism.Entropy (Basel, Switzerland) · 2023Article
- Link Prediction with Continuous-Time Classical and Quantum Walks.Entropy (Basel, Switzerland) · 2023Article
- "Stealing fire or stacking knowledge" by machine intelligence to model link prediction in complex networks.iScience · 2023Article
- Hyperbolic matrix factorization improves prediction of drug-target associations.Scientific reports · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
- Link Prediction in Complex Networks Using Recursive Feature Elimination and Stacking Ensemble Learning.Entropy (Basel, Switzerland) · 2022Article
- Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata.Entropy (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology. After a brief introduction of the standard problem and evaluation metrics of link prediction, this review will summarize representative progresses about local similarity indices, link predictability, network embedding, matrix completion, ensemble learning, and some others, mainly extracted from related publications in the last decade. Finally, this review will outline some long-standing challenges for future studies.
Indexed as
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.