Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph

International Workshop on Semantics-Powered Data Mining and Analytics 2019 Gilles VandewieleBram SteenwinckelFemke OngenaeFilip De Turck

Deep-learning based techniques are increasingly being used for different machine learning tasks on knowledge graphs. While it has been shown empirically that these techniques often achieve better predictive performances than their classical counterparts, where features are extracted from the graph, they lack interpretability... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Node Classification AIFB Path Tree Accuracy 89.44 # 2
Node Classification AM Path Tree Accuracy 86.77 # 3
Node Classification BGS Path Tree Accuracy 86.90 # 2
Node Classification MUTAG Path Tree Accuracy 73.82 # 1