CLUSTER-HGNN: DEEP LOCAL FEATURES CLUSTERING FOR FEW-SHOT IMAGE CLASSIFICATION WITH HYBRID GRAPH NEURAL NETWORKS

Cluster-HGNN: Deep Local Features Clustering for Few-Shot Image Classification With Hybrid Graph Neural Networks

Graph neural networks (GNNs) have shown great promise in 5 Piece King Sleigh Bedroom few-shot learning, where they typically represent the entire feature of a sample as a node.However, this approach can overlook finer details within the sample, as GNNs usually measure the distance between nodes to determine overall differences, making them prone to

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A fermionic portal to a non-abelian dark sector

We introduce a new LEGO Minecraft class of renormalizable models for dark matter with a minimal particle content, consisting of a dark SU(2)D gauge sector connected to the standard model through a vector-like fermion mediator, not requiring a Higgs portal, in which a massive vector boson is the dark matter candidate.These models are labeled fermion

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A CRISPR-strategy for the generation of a detectable fluorescent hESC reporter line (WAe009-A-37) for the subpallial determinant GSX2

GSX2 is a homeobox transcription factor (TF) controlling the specification of the ventral lateral ganglionic eminence and its major derivative, the corpus striatum.Medium spiny neurons (MSNs) represent the largest cell component of the striatum and Bladder Health they are primarily affected in Huntington disease (HD).Here, we used CRISPR technology

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