Representation Learning for Heterogeneous Information Networks via Embedding Events

29 Jan 2019 Guoji Fu Bo Yuan Qiqi Duan Xin Yao

Network representation learning (NRL) has been widely used to help analyze large-scale networks through mapping original networks into a low-dimensional vector space. However, existing NRL methods ignore the impact of properties of relations on the object relevance in heterogeneous information networks (HINs)... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Link Prediction DBLP Event2vec AUC 90.1 # 2
Link Prediction Douban Event2vec AUC 82.3 # 2
Link Prediction IMDb Event2vec AUC 89.4 # 1
Link Prediction Yelp Event2vec AUC 86.2 # 2

Methods used in the Paper


METHOD TYPE
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