Data-centric AI, with its primary focus on the collection, management, and utilization of data to drive AI models and applications, has attracted increasing attention in recent years. In this …
W Huang, M Ye, Z Shi, H Li, B Du - 2023 IEEE/CVF Conference …, 2023 - ieeexplore.ieee.org
Federated learning shows a bright promise as a privacy-preserving collaborative learning technique. However, prevalent solutions mainly focus on all private data sampled from the …
Y Liu, K Ding, Q Lu, F Li… - Advances in Neural …, 2024 - proceedings.neurips.cc
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable dissimilarity compared to the majority in a collection. However, current works primarily focus …
Graph condensation, which reduces the size of a large-scale graph by synthesizing a small- scale condensed graph as its substitution, has immediate benefits for various graph learning …
Unsupervised graph representation learning (UGRL) has drawn increasing research attention and achieved promising results in several graph analytic tasks. Relying on the …
W Huang, M Ye, Z Shi, G Wan, H Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties. Recently, with the popularity of federated learning, an …
J Baek, W Jeong, J Jin, J Yoon… - … conference on machine …, 2023 - proceedings.mlr.press
Subgraphs of a larger global graph may be distributed across multiple devices, and only locally accessible due to privacy restrictions, although there may be links between …
X Yang, W Huang, M Ye - Advances in Neural Information …, 2023 - proceedings.neurips.cc
Personalized federated learning with differential privacy has been considered a feasible solution to address non-IID distribution of data and privacy leakage risks. However, current …
Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophilic-prone or heterophily-prone. While graphs with homophily …