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Found 4 papers, 1 papers with code
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 Counterfactual Collaborative Session-based Recommender System
Next, COCO-SBRS adopts counterfactual inference to recommend items based on the outputs of the pre-trained recommendation model considering the causalities to alleviate the data sparsity problem.
A Block-based Generative Model for Attributed Networks Embedding
To preserve the attribute information, we assume that each node has a hidden embedding related to its assigned block.
Hyperbolic Node Embedding for Signed Networks
Signed network embedding methods aim to learn vector representations of nodes in signed networks.
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