Modeling Relational Data with Graph Convolutional Networks

Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) remain incomplete... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Node Classification AIFB R-GCN Accuracy 95.83 # 1
Node Classification AM R-GCN Accuracy 89.29 # 1
Node Classification BGS R-GCN Accuracy 83.10 # 3
Node Classification MUTAG R-GCN Accuracy 73.23 # 2

Methods used in the Paper


METHOD TYPE
RGCN
Graph Models