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08/10/2023
Cross-heterogeneity Graph Few-shot Learning
In recent years, heterogeneous graph few-shot learning has been proposed...
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06/17/2023
Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
Constructing commonsense knowledge graphs (CKGs) has attracted wide rese...
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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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02/13/2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
In recommendation scenarios, there are two long-standing challenges, i.e...
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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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07/11/2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Semantic relation prediction aims to mine the implicit relationships bet...
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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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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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08/18/2021
A Unified Framework for Cross-Domain and Cross-System Recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...
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03/17/2021
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation
Traditional social group analysis mostly uses interaction models, event ...
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03/02/2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects
To address the long-standing data sparsity problem in recommender system...
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11/20/2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Knowledge Graph (KG) has attracted more and more companies' attention fo...
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09/14/2020
A Deep Framework for Cross-Domain and Cross-System Recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR)...
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02/18/2020