Specifically, we propose novel graph embedding structures to be the class discriminative transfer feature learning item and cross-domain alignment item, which can make the same-category samples ...

Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs Abstract: Graph Neural Networks (GNNs) exhibit satisfactory performance on homophilic networks, where ...