A Survey on Variational Autoencoders in Recommender Systems
S Liang, Z Pan, wei liu, J Yin, M de Rijke - ACM Computing Surveys, 2024 - dl.acm.org
Recommender systems have become an important instrument to connect people to
information. Sparse, complex, and rapidly growing data presents new challenges to …
information. Sparse, complex, and rapidly growing data presents new challenges to …
Accelerating scalable graph neural network inference with node-adaptive propagation
Graph neural networks (GNNs) have exhibited exceptional efficacy in a diverse array of
applications. However, the sheer size of large-scale graphs presents a significant challenge …
applications. However, the sheer size of large-scale graphs presents a significant challenge …
Federated heterogeneous graph neural network for privacy-preserving recommendation
The heterogeneous information network (HIN), which contains rich semantics depicted by
meta-paths, has emerged as a potent tool for mitigating data sparsity in recommender …
meta-paths, has emerged as a potent tool for mitigating data sparsity in recommender …
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
The multiplayer online battle arena (MOBA) genre has gained significant popularity and
economic success, attracting considerable research interest within the Human-Computer …
economic success, attracting considerable research interest within the Human-Computer …
Robust Preference-Guided based Disentangled Graph Social Recommendation
GF Ma, XH Yang, Y Zhou, H Long… - … on Network Science …, 2024 - ieeexplore.ieee.org
Social recommendations introduce additional social information to capture users' potential
item preferences, thereby providing more accurate recommendations. However, friends do …
item preferences, thereby providing more accurate recommendations. However, friends do …