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Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.

, , , and . CoRR, (2021)

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Preface., , , , , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2023)Exploring the Geometry and Topology of Neural Network Loss Landscapes., , , , , and . IDA, volume 13205 of Lecture Notes in Computer Science, page 171-184. Springer, (2022)Taxonomy of Benchmarks in Graph Representation Learning., , , , , , , , , and 2 other author(s). LoG, volume 198 of Proceedings of Machine Learning Research, page 6. PMLR, (2022)Time-Inhomogeneous Diffusion Geometry and Topology., , , , , , , and . SIAM J. Math. Data Sci., 5 (2): 346-372 (June 2023)ICML 2023 Topological Deep Learning Challenge: Design and Results., , , , , , , , , and 52 other author(s). TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images., , , , and . CoRR, (2022)Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework., , and . ICLR, OpenReview.net, (2023)Graph Kernels: State-of-the-Art and Future Challenges., , , , and . CoRR, (2020)Metric Space Magnitude and Generalisation in Neural Networks., , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 242-253. PMLR, (2023)A sandbox for prediction and integration of DNA, RNA, and proteins in single cells., , , , , , , , , and 28 other author(s). NeurIPS Datasets and Benchmarks, (2021)