P-Laplacian Based Graph Neural Networks

von Fu, Guoji
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 9 of 33 (2023)

FROM SETS TO MULTISETS: PROVABLE VARIATIONAL INFERENCE FOR PROBABILISTIC INTEGER SUBMODULAR MODELS

von Sahin, Aytunc
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 11 of 15 (2021)

Learning Neural Set Functions Under the Optimal Subset Oracle

von Ou, Zijing
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Self-Supervised Graph Transformer on Large-Scale Molecular Data

von Rong, Yu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

von Chang, Heng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

von Chen, Yongqiang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

von Han, Zongbo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 49 of 50 (2023)