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A Novel Neural-symbolic System under Statistical Relational Learning
A key objective in field of artificial intelligence is to develop cognitive models that can exhibit human-like intellectual capabilities.
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection
In particular, BPGR can also provide easy-to-understand insights for reasoning results to show interpretability.
CDRec: Cayley-Dickson Recommender
In this paper, we propose a recommendation framework named Cayley-Dickson Recommender.
Hyperbolic Neural Collaborative Recommender
In the second phase, we develop a deep framework based on hyperbolic geometry to integrate constructed neighbor sets into recommendation.
HSR: Hyperbolic Social Recommender
With the prevalence of online social media, users' social connections have been widely studied and utilized to enhance the performance of recommender systems.
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