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info.json
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{
"abstract": "LPmade is a complete cross-platform software solution for multi-core link prediction and related tasks and analysis. Its first principal contribution is a scalable network library supporting high-performance implementations of the most commonly employed unsupervised link prediction methods. Link prediction in longitudinal data requires a sophisticated and disciplined procedure for correct results and fair evaluation, so the second principle contribution of LPmade is a sophisticated GNU make architecture that completely automates link prediction, prediction evaluation, and network analysis. Finally, LPmade streamlines and automates the procedure for creating multivariate supervised link prediction models with a version of WEKA modified to operate effectively on extremely large data sets. With mere minutes of manual work, one may start with a raw stream of records representing a network and progress through hundreds of steps to generate plots, gigabytes or terabytes of output, and actionable or publishable results.",
"authors": [
"Ryan N. Lichtenwalter",
"Nitesh V. Chawla"
],
"id": "lichtenwalter11a",
"issue": 75,
"pages": [
2489,
2492
],
"title": "LPmade: Link Prediction Made Easy",
"volume": "12",
"year": "2011",
"special_issue": "MLOSS",
"extra_links": [["code", "https://github.com/rlichtenwalter/LPmade"]]
}