Knowledge Graph Empowered Entity Description Generation
Table 4: Results of the ablation study.
['[BOLD] Model', '[BOLD] BLEU', 'Δ [BOLD]  (BLEU)']
Each transformed graph is removed respectively from MGCN+SUM with 6 layers except for the g1 (self) which is always enforced in the graph kipf2016semi. We notice that the result drops after removing any transformed graph from the multi graph. Particularly, we observe that the importance of {default2,reverse2} and {default1,reverse1} are equivalent, as the BLEU after removing them individually are almost the same. This explains how multi-graph structure addresses the deficiency of Levi graph (i.e. entity-to-entity information is not represented explicitly in Levi graph). Additionally from the results, it is beneficial to represent the edges in reverse direction for more effective information extraction in directed graphs as there are relatively larger gaps in BLEU drop after removing g3 (reverse1) and g1 (reverse2).