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Querying knowledge graphs (KGs) using deep learning approaches can naturally leverage the reasoning and generalization ability to learn to infer better answers.
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Adversarial attacks on neural networks for graph data
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Query2box: Reasoning over knowledge graphs in vector space using box embeddings
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System-1 and system-2 realized within the common model of cognition
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Temporal Logic
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Mask and reason: Pre-training knowledge graph transformers for complex logical queries
Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang · 2022
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Graph convolutional networks with dual message passing for subgraph isomorphism counting and matching
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