Abstract: For the link prediction task in knowledge graph, the existing subgraph-based representation learning method, by studying the structural characteristics of nodes in the subgraph, passes the ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Claude isn't the most feature-rich AI chatbot, but it performs most tasks reasonably well and benefits from a well-designed ...
Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
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