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02/09/2023
Adap-τ: 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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09/16/2021
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
Recommender system usually suffers from severe popularity bias – the col...
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08/22/2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Knowledge graph completion (KGC) has become a focus of attention across ...
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04/07/2018
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Malicious calls, i.e., telephony spams and scams, have been a long-stand...
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03/09/2018