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Research map / Probabilistic and scientific modeling / Dynamical systems

Dynamic Network Model from Partial Observations

NeurIPS 2018 · Probabilistic and scientific modeling › Dynamical systems · approach: Latent dynamics models · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Dyference instead of TopoLSTM for diffusion predictionDiffusion prediction · TwitterMAP@10: 20.5 -> 20.6Helped
Use Dyference instead of TopoLSTM for diffusion predictionDiffusion prediction · TwitterHits@100: 34.9 -> 36.7Helped
Use Dyference instead of TopoLSTM for diffusion predictionDiffusion prediction · MemesMAP@100: 30.0 -> 32.4Helped
Use Dyference instead of TopoLSTM for diffusion predictionDiffusion prediction · MemesHits@100: 76.8 -> 84.0Helped
Use Dyference instead of InfoPath for bankruptcy predictionDynamic bankruptcy prediction · Bankruptcy 2012MAP@10: 4.0 -> 17.6Helped
Use Dyference instead of InfoPath for bankruptcy predictionDynamic bankruptcy prediction · Bankruptcy 2014MAP@10: 35.0 -> 62.0Helped
Use Dyference instead of InfoPath for bankruptcy predictionDynamic bankruptcy prediction · Bankruptcy 2016MAP@20: 65.0 -> 85.7Helped
Use Dyference rather than InfoPath for online dynamic network inferenceDynamic network inference · Synthetic dynamic networksF1 scoreHelped
Use Dyference rather than InfoPath for online dynamic network inferenceDynamic network inference · Time-varying hyperlink networksF1 scoreHelped
Use Dyference rather than NetRate and InfoPath for static network inferenceStatic network inference · Synthetic networksF1 scoreHelped

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