Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders

Hanxuan Yang; Qingchao Kong; Wenji Mao

doi:10.1109/tkde.2025.3591732

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Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders

Hanxuan Yang Qingchao Kong Wenji Mao

Year: 2025 Journal: IEEE Transactions on Knowledge and Data Engineering Vol: 37 (10)Pages: 6061-6074 Publisher: IEEE Computer Society

DOI: 10.1109/tkde.2025.3591732

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Keywords:

Computer science Graph Theoretical computer science Autoencoder Representation (politics) Graph theory Artificial intelligence Mathematics Deep learning Combinatorics

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Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Graph Theory and Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders

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