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1. BernNet BernNet Public

   PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

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2. ChebNetII ChebNetII Public

   PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

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3. PSHGCN PSHGCN Public

   PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."

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4. DirLinkBench-SDGAE DirLinkBench-SDGAE Public

   The implementation of our preprint paper "Rethinking Link Prediction for Directed Graphs".

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5. PGL PGL Public

   Forked from PaddlePaddle/PGL

   Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

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6. MultigraphNN MultigraphNN Public

   Forked from landonbutler/MultigraphNN

   Python