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Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference.

, , , and . COLING, page 1391-1400. International Committee on Computational Linguistics, (2022)

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Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion., , , , , , , , , and . SIGIR, page 213-222. ACM, (2021)Rule-Guided Compositional Representation Learning on Knowledge Graphs., , , , , , and . AAAI, page 2950-2958. AAAI Press, (2020)Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference., , , and . COLING, page 1391-1400. International Committee on Computational Linguistics, (2022)Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings., , , , , , , , and . CoRR, (2021)AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding., , , , and . CoRR, (2020)EngineKGI: Closed-Loop Knowledge Graph Inference., , , and . CoRR, (2021)CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion., , , and . ACL (1), page 2867-2877. Association for Computational Linguistics, (2022)Real-time object tracking via self-adaptive appearance modeling., , , , and . Neurocomputing, (2019)Joint semantics and data-driven path representation for knowledge graph reasoning., , , , , , and . Neurocomputing, (2022)Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference., , , , , , and . CoRR, (2020)