Computational data and social networks : 10th international conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings

Veröffentlicht 2021

A Framework for Accelerating Graph Convolutional Networks on Massive Datasets

von Li, Xiang
Veröffentlicht in CSoNet (10. : 2021 : Online) Computational data and social networks (2021)

ADVERSARIAL ATTACKS ON DEEP GRAPH MATCHING

von Zhang, Zijie
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

SCALABLE DIFFERENTIAL PRIVACY WITH CERTIFIED ROBUSTNESS IN ADVERSARIAL LEARNING

von Phan, NhatHai
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

EXPRESSIVE 1-LIPSCHITZ NEURAL NETWORKS FOR ROBUST MULTIPLE GRAPH LEARNING AGAINST ADVERSARIAL ATTACKS

von ZHAO, XIN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

INTEGRATED DEFENSE FOR RESILIENT GRAPH MATCHING

von REN, JIAXIANG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory

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