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10/05/2021
Semi-Supervised Deep Learning for Multiplex Networks
Multiplex networks are complex graph structures in which a set of entiti...
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07/22/2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Graph neural networks (GNNs) have achieved remarkable success as a frame...
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05/28/2020
On Incorporating Structural Information to improve Dialogue Response Generation
We consider the task of generating dialogue responses from background kn...
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05/09/2020
Understanding Dynamic Scenes using Graph Convolution Networks
We present a novel Multi Relational Graph Convolutional Network (MRGCN) ...
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02/03/2020
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Understanding on-road vehicle behaviour from a temporal sequence of sens...
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05/02/2019
Network Representation Learning: Consolidation and Renewed Bearing
Graphs are a natural abstraction for many problems where nodes represent...
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05/31/2018
Fusion Graph Convolutional Networks
Semi-supervised node classification involves learning to classify unlabe...
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05/31/2018
