Event Detection (ED) aims to recognize instances of specified types of event triggers in text. Existing graph neural network-based models have achieved promising progress to alleviate this problem by ...

How can we exploit Label Propagation (LP) to improve the performance of GNN models on heterophilic graphs? Graph Neural Network (GNN) models have received a lot of attention as a powerful deep ...

Here, we present stGuide, an attention-based supervised graph learning model designed for cross-slice alignment and efficient label transfer from reference to query datasets. stGuide leverages ...

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AGCN: A Multi-Label Class Incremental Learning algorithm based on graph convolutional neural networks, where the graph adjacency matrix continuously expands as the tasks progress. PRS : A Multi-Label ...