Gaussian Embedding of Large-scale Attributed Graphs

Graph embedding methods transform high-dimensional and complex graph contents into low-dimensional representations. They are useful for a wide range of graph analysis tasks including link prediction, node classification, recommendation and visualization... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Link Prediction ACM GLACE AP 98.24 # 1
AUC 98.34 # 1
Link Prediction Citeseer (nonstandard variant) GLACE AUC 98.43 # 1
AP 98.37 # 1
Link Prediction Cora (nonstandard variant) GLACE AUC 98.6 # 1
AP 98.52 # 1
Link Prediction DBLP GLACE AUC 98.55 # 1
AP 98.4 # 1
Link Prediction Pubmed (nonstandard variant) GLACE AUC 97.82 # 1
AP 97.49 # 1

Methods used in the Paper


METHOD TYPE
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