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We present the Long Range Graph Benchmark (LRGB) with 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. PascalVOC-SP COCO-SP ...
Inspired by frequency-based backdoor attacks in vision domain and spectral graph theory, we propose an effective graph backdoor attack based on the spectral domain of graph data, which injects trigger ...
On June 27, 2023, the Army's Rapid Capabilities and Critical Technologies Office's Mid-Range Capability Project Office, in conjunction with Soldiers from 1st Multi-Domain Task Force, and the U.S ...
Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph classification ...
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