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AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
However, one single embedding space usually fails to capture all aspects of graph signals.
Isometric Graph Neural Networks
Many tasks that rely on representations of nodes in graphs would benefit if those representations were faithful to distances between nodes in the graph.
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
While node semantics have been extensively explored in social networks, little research attention has been paid to profile edge semantics, i. e., social relations.
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