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08/28/2023
Alleviating Video-Length Effect for Micro-video Recommendation
Micro-videos platforms such as TikTok are extremely popular nowadays. On...
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08/07/2023
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation
Graph Neural Network (GNN)-based models have become the mainstream appro...
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07/19/2023
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
Understanding and characterizing the vulnerability of urban infrastructu...
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06/14/2023
Carbon emissions and sustainability of launching 5G mobile networks in China
Since 2021, China has deployed more than 2.1 million 5G base stations to...
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05/22/2023
Road Planning for Slums via Deep Reinforcement Learning
Millions of slum dwellers suffer from poor accessibility to urban servic...
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03/15/2023
Robust Preference-Guided Denoising for Graph based Social Recommendation
Graph Neural Network(GNN) based social recommendation models improve the...
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02/22/2023
Advancements in Federated Learning: Models, Methods, and Privacy
Federated learning (FL) is a promising technique for addressing the risi...
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09/18/2022
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives
With the outbreak of today's streaming data, sequential recommendation i...
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08/14/2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
Spatiotemporal activity prediction, aiming to predict user activities at...
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08/10/2022
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias
Recommender systems are prone to be misled by biases in the data. Models...
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12/15/2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization
Federated optimization (FedOpt), which targets at collaboratively traini...
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11/05/2021
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
Incorporating social relations into the recommendation system, i.e. soci...
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11/01/2021
Improving Location Recommendation with Urban Knowledge Graph
Location recommendation is defined as to recommend locations (POIs) to u...
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11/01/2021
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction
With the rapid development of the mobile communication technology, mobil...
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09/27/2021
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Recommender system is one of the most important information services on ...
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08/16/2021
DGCN: Diversified Recommendation with Graph Convolutional Networks
These years much effort has been devoted to improving the accuracy or re...
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06/14/2021
Efficient Data-specific Model Search for Collaborative Filtering
Collaborative filtering (CF), as a fundamental approach for recommender ...
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04/30/2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Traffic prediction is the cornerstone of an intelligent transportation s...
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02/21/2021
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
With the continued spread of coronavirus, the task of forecasting distin...
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01/19/2021
Learnable Embedding Sizes for Recommender Systems
The embedding-based representation learning is commonly used in deep lea...
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10/14/2020
Group-Buying Recommendation for Social E-Commerce
Group buying, as an emerging form of purchase in social e-commerce websi...
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09/07/2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Negative sampling approaches are prevalent in implicit collaborative fil...
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05/07/2020
Bundle Recommendation with Graph Convolutional Networks
Bundle recommendation aims to recommend a bundle of items for a user to ...
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03/09/2020
Price-aware Recommendation with Graph Convolutional Networks
In recent years, much research effort on recommendation has been devoted...
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09/21/2018
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
Bayesian Personalized Ranking (BPR) is a representative pairwise learnin...
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09/21/2018
Neural Multi-Task Recommendation from Multi-Behavior Data
Most existing recommender systems leverage user behavior data of one typ...
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09/21/2018