Abstract: Rapidly accumulating, large-scale and long-term meteorological data provide unprecedented opportunities for data-driven meteorological models and fine-grained numerical weather prediction.
Abstract: Online social networks (OSNs) often refuse to publish their social network graphs due to privacy concerns. Recently, differential privacy has become the widely accepted criteria for privacy ...
In the previous article, [344] [Short-term Intensive Series Part 1] Journey to Association Schemes: The Beautiful Symmetry of Distance-Regular Graphs, we introduced "distance-regular graphs," which ...
This repository is not maintained anymore. An updated version of the sparse codebase in this repo, together with many more GNN implementations, is available on https ...
This is the MXNet implementation of STFGNN in the paper: [Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting, AAAI 2021] (https://arxiv.org ...
In this paper, we consider sparse inhomogeneous Erdős–Rényi random graph ensembles where edges are connected independently with probability pij. We assume that pij = 𝜀Nf (wi,wj), where (wi)i≥1 is a ...
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