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Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding
It is considered that such approaches disconnect the semantic connection of multi-relations between an entity pair, and we propose a convolutional and multi-relational representation learning model, ConvMR.
Improving Question Answering over Knowledge Graphs Using Graph Summarization
The key idea is to represent questions and entities of a KG as low-dimensional embeddings.
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