Search Results for author:
Found 2 papers, 1 papers with code
Diffusion-based Contrastive Learning for Sequential Recommendation
However, these random augmentation strategies (e. g., mask or substitution) neglect the semantic consistency of different augmented views for the same user, leading to semantically inconsistent sequences with similar representations.
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Firstly, TAHyper employs the hyperbolic space to encode the social networks, thereby effectively reducing the distortion of confounder representation caused by Euclidean embeddings.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
