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A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
The main features of benedekrozemberczki/appnp are: Graph Neural Networks, Geometric Deep Learning: Graph & Irregular Structures.
Projects with overlapping indexed features include: benedekrozemberczki/gam — A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018). benedekrozemberczki/graphwaveletneuralnetwork — A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019). benedekrozemberczki/capsgnn — A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). benedekrozemberczki/clustergcn — A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional… benedekrozemberczki/attentionwalk — A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). benedekrozemberczki/mixhop-and-n-gcn — An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML…