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05/07/2023
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
Sequential recommendation (SR) aims to model user preferences by capturi...
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04/28/2023
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation
Sequential recommendation aims to capture users' dynamic interest and pr...
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04/22/2023
Sequential Recommendation with Probabilistic Logical Reasoning
Deep learning and symbolic learning are two frequently employed methods ...
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04/18/2023
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
The self-attention mechanism, which equips with a strong capability of m...
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04/16/2023
Meta-optimized Contrastive Learning for Sequential Recommendation
Contrastive Learning (CL) performances as a rising approach to address t...
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04/10/2023
Sequential Recommendation with Diffusion Models
Generative models, such as Variational Auto-Encoder (VAE) and Generative...
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09/03/2022
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
Inductive link prediction (ILP) is to predict links for unseen entities ...
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08/08/2022
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
Contrastive learning with Transformer-based sequence encoder has gained ...
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04/21/2022
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Sequential Recommendation aims to predict the next item based on user be...
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01/29/2022
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Story ending generation is an interesting and challenging task, which ai...
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12/31/2021
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification
Recent years have witnessed the increasing popularity of Location-based ...
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11/20/2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Sequential recommendation has been a widely popular topic of recommender...
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11/20/2021
Quaternion-Based Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has been widely applied in recommender s...
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10/27/2021
Closing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer
We develop a high-performance tensor-based simulator for random quantum ...
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09/27/2021
Robust SLAM Systems: Are We There Yet?
Progress in the last decade has brought about significant improvements i...
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07/12/2020
Graph Factorization Machines for Cross-Domain Recommendation
Recently, graph neural networks (GNNs) have been successfully applied to...
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11/13/2019
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Service robots should be able to operate autonomously in dynamic and dai...
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05/29/2019
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation
When purchasing appearance-first products, e.g., clothes, product appear...
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06/18/2018