In D2GCN, hybrid features are used as the inputs, and the feature matrix of each layer is reused for residual ... This paper applies two Deep GNN models, which are GCNII and DropEdge, to HDGCN and GCN ...

National average includes 140 markets tracked by Matrix, not just the 30 metros listed above. Source: Yardi Matrix December Monthly Report The national average advertised asking rent decreased by ...

Abstract: This paper proposes a novel deep learning enabled beamforming design for ultra-dense wireless networks by integrating prior knowledge and graph neural network (GNN), termed model-based GNN.

After hours: February 3 at 4:02:03 PM EST Loading Chart for MTRX ...

To address this limitation, we propose Neighborhood Overlap-aware Graph Neural Networks (Neo-GNNs) that learn useful structural features from an adjacency matrix and estimate overlapped neighborhoods ...

Molecular property prediction is a crucial task in various fields and has recently garnered significant attention. To achieve accurate and fast prediction of molecular properties, machine learning (ML ...

33 years ago today, the Sámi People of Arctic Scandinavia/Russia established a day celebrating their existence. With a special delegation at the EU, the ...

College of Chemistry and Materials Science, Hebei University, Baoding 071002, P. R. China ...

Department of Physics, Rutgers University, Newark, New Jersey 07102, United States of America ...