Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs

von Jin, Ming
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 26 of 50 (2023)

Fine-grained Attributed Graph Clustering

von Kang, Zhao
Veröffentlicht in SIAM International Conference on Data Mining (2022 : Online) SIAM International Conference on Data Mining (SDM'22) (2022)

Identify topic relations in scientific literature using topic modeling

von Chen, Hongshu
Veröffentlicht in Institute of Electrical and Electronics Engineers IEEE transactions on engineering management (2021)

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction

von Zheng, Yizhen
Veröffentlicht in PAKDD (25. : 2021 : Online) Advances in knowledge discovery and data mining ; Part 1 (2021)

Neighbor Contrastive Learning on Learnable Graph Augmentation

von Shen, Xiao
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 2 of 2 (2023)

Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks

von Ni, Xuelian
Veröffentlicht in SIAM International Conference on Data Mining (2022 : Online) SIAM International Conference on Data Mining (SDM'22) (2022)

GRAPH STOCHASTIC NEURAL NETWORKS FOR SEMI-SUPERVISED LEARNING

von Wang, Haibo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

GRAPH GEOMETRY INTERACTION LEARNING

von Zhu, Shichao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

von ZHENG, YIZHEN
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 15 of 50 (2023)

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement

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

Pseudo-Riemannian Graph Convolutional Networks

von Xiong, Bo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

von Wan, Sheng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

IDARTS: DIFFERENTIABLE ARCHITECTURE SEARCH WITH STOCHASTIC IMPLICIT GRADIENTS

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

Advanced data mining and applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, proceedings

Veröffentlicht 2022

Advanced data mining and applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, proceedings

Veröffentlicht 2022

Advanced data mining and applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, proceedings

The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022.The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others