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09/21/2023
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems
The past decade has seen rapid growth of distributed stream data process...
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09/04/2023
Interactive Graph Convolutional Filtering
Interactive Recommender Systems (IRS) have been increasingly used in var...
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06/22/2023
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
The storage, management, and application of massive spatio-temporal data...
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01/03/2023
Recent Advances on Federated Learning: A Systematic Survey
Federated learning has emerged as an effective paradigm to achieve priva...
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12/24/2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Graph Neural Networks (GNNs) have been a prevailing technique for tackli...
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11/01/2022
Distributed Graph Neural Network Training: A Survey
Graph neural networks (GNNs) are a type of deep learning models that lea...
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10/12/2022
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property
In the age of big data, the demand for hidden information mining in tech...
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10/07/2022
Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information
Since most scientific literature data are unlabeled, this makes unsuperv...
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10/07/2022
Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning
Academic networks in the real world can usually be portrayed as heteroge...
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06/06/2022
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
In the field of car evaluation, more and more netizens choose to express...
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03/21/2022
Academic Resource Text Level Multi-label Classification based on Attention
Hierarchical multi-label academic text classification (HMTC) is to assig...
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03/21/2022