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VisKG-LM: Compiling Knowledge Graphs into Visual Memory for Multiple-Choice Question Answering
Knowledge graphs are usually integrated into question answering by encoding a retrieved subgraph with a graph neural network and fusing it with the language model in the online inference path. The same subgraph is therefore re-encoded from scratch every time a pair is scored, across training epochs,
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