Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks
Many graph neural networks (GNNs) are inapplicable when the graph structure representing
the node relations is unavailable. Recent studies have shown that this problem can be …
the node relations is unavailable. Recent studies have shown that this problem can be …
Robust Temporal Link Prediction in Dynamic Complex Networks via Stable Gated Models With Reinforcement Learning
Temporal link prediction is one of the most important tasks for predicting time-varying links
by capturing dynamics within complex networks. However, it suffers from difficulties such as …
by capturing dynamics within complex networks. However, it suffers from difficulties such as …
Integrating automated machine learning and metabolic reprogramming for the identification of microplastic in soil: A case study on soybean
Z Liu, W Wang, Y Geng, Y Zhang, X Gao, J Xu… - Journal of Hazardous …, 2024 - Elsevier
The accumulation of polyethylene microplastic (PE-MPs) in soil can significantly impact plant
quality and yield, as well as affect human health and food chain cycles. Therefore …
quality and yield, as well as affect human health and food chain cycles. Therefore …
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
B Jiang, F Xu, Z Zhang, J Tang, F Nie - arXiv preprint arXiv:2305.07521, 2023 - arxiv.org
To alleviate the local receptive issue of GCN, Transformers have been exploited to capture
the long range dependences of nodes for graph data representation and learning. However …
the long range dependences of nodes for graph data representation and learning. However …
Learned Sharding toward Sustainable Communications and Networking in Blockchains
B Yin, R Rong, X Xiao - IEEE Transactions on Green …, 2024 - ieeexplore.ieee.org
Sharding scales blockchain by grouping blockchain nodes into committees each of which
processes a portion of the total transactions in parallel. The issue with sharding is the …
processes a portion of the total transactions in parallel. The issue with sharding is the …
KUNPENG: An Embodied Large Model for Intelligent Maritime
N Wang, T Jiang, Y Wang, S Qiu, B Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent maritime, as an essential component of smart ocean construction, deeply
integrates advanced artificial intelligence technology and data analysis methods, which …
integrates advanced artificial intelligence technology and data analysis methods, which …