Union subgraph neural networks

Graph Neural Networks (GNNs) are widely used for graph representation learning in many application domains. The expressiveness of vanilla GNNs is upper-bounded by 1-dimensional Weisfeiler-Leman (1-WL) test as they operate on rooted subtrees through iterative message passing. In this paper, we empowe...

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Bibliographic Details
Main Authors: Xu, Jiaxing, Zhang, Aihu, Bian, Qingtian, Dwivedi, Vijay Prakash, Ke, Yiping
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173329
https://aaai.org/aaai-conference/
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Institution: Nanyang Technological University
Language: English

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