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Understanding Dropout for Graph Neural Networks.

, , , , , and . WWW (Companion Volume), page 1128-1138. ACM, (2022)

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Scientific Computing with Diffractive Optical Neural Networks., , , and . CoRR, (2023)MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 27611-27629. PMLR, (2023)Learning Sparse Group Models Through Boolean Relaxation., , , , , and . ICLR, OpenReview.net, (2023)Neural Predicting Higher-order Patterns in Temporal Networks., , and . WWW, page 1340-1351. ACM, (2022)Structure Learning Constrained by Node-Specific Degree Distribution., , and . UAI, page 533-541. AUAI Press, (2015)DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design., , , , , , , , and . CoRR, (2024)Protein Homology Detection Through Alignment of Markov Random Fields - Using MRFalign, , and . Springer Briefs in Computer Science Springer, (2015)Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction., , , , , and . ICLR, OpenReview.net, (2023)Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs., , , and . ICLR, OpenReview.net, (2023)Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 17644-17655. PMLR, (2022)