SLIF-MR dynamically rebuilds item-item similarity graphs from learned representations during training and claims improved multimodal knowledge-graph recommendation, but the implementation has unaddressed gaps.
A survey on recommender systems using graph neural network,
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SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
SLIF-MR dynamically rebuilds item-item similarity graphs from learned representations during training and claims improved multimodal knowledge-graph recommendation, but the implementation has unaddressed gaps.