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02/09/2023
Adap-Ï„: Adaptively Modulating Embedding Magnitude for Recommendation
Recent years have witnessed the great successes of embedding-based metho...
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02/07/2023
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion
Learning hyperbolic embeddings for knowledge graph (KG) has gained incre...
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02/07/2023
On the Theories Behind Hard Negative Sampling for Recommendation
Negative sampling has been heavily used to train recommender models on l...
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08/22/2021
