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Farspredict: A benchmark dataset for link prediction
Link prediction with knowledge graph embedding (KGE) is a popular method for knowledge
graph completion. Furthermore, training KGEs on non-English knowledge graph promote …
graph completion. Furthermore, training KGEs on non-English knowledge graph promote …
Beyond Model Performance: Can Link Prediction Enrich French Lexical Graphs?
This paper presents a resource-centric study of link prediction approaches over French
lexical-semantic graphs. Our study incorporates two graphs, RezoJDM16k and RL-fr, and …
lexical-semantic graphs. Our study incorporates two graphs, RezoJDM16k and RL-fr, and …
Au-delà de la performance des modèles: la prédiction de liens peut-elle enrichir des graphes lexico-sémantiques du français?
Cet article présente une étude sur l'utilisation de modèles de prédiction de liens pour
l'enrichissement de graphes lexico-sémantiques du français. Celle-ci porte sur deux …
l'enrichissement de graphes lexico-sémantiques du français. Celle-ci porte sur deux …
[PDF][PDF] Improving Convolutional Neural Networks for Knowledge Graph Completion
K Cousot, NM Farisar, W Ragheb, M Mirzapour - TextMine'23 - egc.asso.fr
In this paper, we present our ongoing research on a convolutional neural network
architecture for knowledge graph completion task called Multilayered ConvKB (MConvKB) …
architecture for knowledge graph completion task called Multilayered ConvKB (MConvKB) …