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DySAT_pytorch
Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention NetworksAwesome-HigherOrderGraph
Collection of papers relating data-driven higher-order graph/networks researches.NEDMP
Official PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022GDN_PyG
This is a PyG 2.1 implementation of GDN "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" AAAI 21ELE
A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020LGNN
A PyTorch implementation of Supervised community detection with graph neural networks (ICLR 2019)DMP_IC
Dynamic Message Passing Algorithm for Independent Cascade Modellinux-config
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