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Showing 1 to 6 of 6 for “"Graph Convolution Network"”.

  1. Leveraging Basis Alignment to create a Generalized Multi-Relational Graph Convolution Network in the Federated Setting

    Knowledge graphs have seen a significant rise in popularity and usage in recent years with many real-world applications taking advantage of their ability to model interlinked data easily. In general, many institutions maintain their own knowledge graphs, however these graphs tend to suffer from …

    mit Repository record for Leveraging Basis Alignment to create a Generalized Multi-Relational Graph Convolution Network in the Federated Setting (opens in a new tab)

  2. Dynamic Spatio-Temporal Graph Convolutional Networks

    … have seen impressive gains in the performance of graph learning as a paradigm for spatial learning problems. Some recent work has explored the intersection of these two fields but often assumes that the underlying graph structure is static. We introduce Dynamic Spatio-Temporal Graph Convolution

    mit Repository record for Dynamic Spatio-Temporal Graph Convolutional Networks (opens in a new tab)

  3. Deep Learning Models for Traffic Prediction in Urban Transport Networks.

    … component of this vision is the urban transport network which is continuously challenged with increasing number of vehicles on roads. This results in issues including long travel time, increasingly persistent traffic congestion, accidents and road safety concerns. The research work in this thesis …

    bournemouth Repository record for Deep Learning Models for Traffic Prediction in Urban Transport Networks. (opens in a new tab)

  4. Building Footprint Reconstruction from Satellite Imagery Using a Deep Learning Framework with Geometric Regularization

    … with. In this thesis, we explore four different network architectures aimed at improving our baseline model, R-PolyGCN, by integrating novel modules that enhance building footprint reconstruction. The final chapter presents Decoupled-PolyGCN, our most advanced deep learning model, that leverages …

    york Repository record for Building Footprint Reconstruction from Satellite Imagery Using a Deep Learning Framework with Geometric Regularization (opens in a new tab)

  5. Modelling Group Recommender Systems

    … a novel Propagation-aware Transfer Learning Network (PTLN) based on the propagation of social relations to better mine the sharing knowledge hidden in social networks. Specifically, we explore social influence in two aspects: higher-order friends are utilized by order bias; different friends …

    uts Repository record for Modelling Group Recommender Systems (opens in a new tab)

  6. Identifying and Minimizing Underspecification in Breast Cancer Subtyping

    <p>In the realm of biomedical technology, both accuracy and consistency are crucial to the development and deployment of these tools. While accuracy is easy to measure, consistency metrics are not so simple to measure, especially in the scope of biomedicine where prediction consistency can be …

    calpoly Repository record for Identifying and Minimizing Underspecification in Breast Cancer Subtyping (opens in a new tab)