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Lecture 6.1: Overview of supervised generative GNNs
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Lecture 6.2: Self-supervised/unsupervised generative GNNs
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Lecture 6.3: Unconditional sequential graph generation
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Lecture 6.4: Unconditional one-shot graph generation
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Lecture 6.5: Supervised conditional generation on graphs
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Lecture 6.6: Generative Graph U-Net
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Lecture 6.7: Evaluation measures for generative GNNs
DGL_Lecture_6
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