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Advanced Graph Neural Networks
This cluster of papers focuses on the development, applications, and techniques related to Graph Neural Networks (GNNs) and their variants. It covers topics such as knowledge graph embedding, representation learning, network embedding, deep learning, graph convolutional networks, heterogeneous networks, relational data modeling, signal processing on graphs, and semi-supervised learning.
57.7K works worldwide554.1K citations
Graph Neural NetworksKnowledge Graph EmbeddingRepresentation LearningNetwork EmbeddingDeep LearningGraph Convolutional NetworksHeterogeneous NetworksRelational Data ModelingSignal Processing on GraphsSemi-Supervised Learning
