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Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?

, , and . DSAA, page 138-147. IEEE, (2020)

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EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction., , and . EDML@SDM, volume 2436 of CEUR Workshop Proceedings, page 5-13. CEUR-WS.org, (2019)CSNE: Conditional Signed Network Embedding., , , and . CIKM, page 1105-1114. ACM, (2020)Interactively Exploring Supply and Demand in the UK Independent Music Scene., , , and . ECML/PKDD (3), volume 9286 of Lecture Notes in Computer Science, page 289-292. Springer, (2015)Mining explainable local and global subgraph patterns with surprising densities, , , and . Data Mining and Knowledge Discovery, (2020)A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback., , , and . IEEE Trans. Knowl. Data Eng., 32 (9): 1666-1679 (2020)Topologically Regularized Data Embeddings., , , , and . CoRR, (2021)Informative Data Projections: A Framework and Two Examples., , , and . CoRR, (2015)Size Matters: Finding the Most Informative Set of Window Lengths., , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 451-466. Springer, (2012)Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?, , and . DSAA, page 138-147. IEEE, (2020)Supply and demand of independent UK music artists on the web., , , , and . WebSci, page 48:1-48:2. ACM, (2015)