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A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A Python library providing a comprehensive collection of graph sampling algorithms for NetworkX and NetworKit.
A PyTorch Geometric extension library for signed and directed graph neural networks, embedding, and clustering methods.
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