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06/15/2023
Hyperbolic Representation Learning: Revisiting and Advancing
The non-Euclidean geometry of hyperbolic spaces has recently garnered co...
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05/08/2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Maximizing the user-item engagement based on vectorized embeddings is a ...
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04/01/2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Searching on bipartite graphs is basal and versatile to many real-world ...
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09/28/2022
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation
Incorporating knowledge graphs (KGs) as side information in recommendati...
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06/05/2022
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
Learning vectorized embeddings is at the core of various recommender sys...
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12/03/2021
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation
Due to the promising advantages in space compression and inference accel...
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09/05/2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
To alleviate data sparsity and cold-start problems of traditional recomm...
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08/14/2021
Modeling Scale-free Graphs for Knowledge-aware Recommendation
Aiming to alleviate data sparsity and cold-start problems of traditional...
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01/17/2021
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
With the rapid development of biomedical software and hardware, a large ...
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01/16/2019
