Knowledge Graphs for Multi-modal Learning: Survey and Perspective.
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Inf. Fusion, 2025
Prompting disentangled embeddings for knowledge graph completion with pre-trained language model.
Expert Syst. Appl., 2025
Cross-composition Feature Disentanglement for Compositional Zero-shot Learning.
CoRR, 2024
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
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CoRR, 2024
Untargeted Adversarial Attack on Knowledge Graph Embeddings.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Scalable Community Search over Large-scale Graphs based on Graph Transformer.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Scalable Community Search with Accuracy Guarantee on Attributed Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Contextual semantic embeddings for ontology subsumption prediction.
World Wide Web (WWW), September, 2023
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey.
Proc. IEEE, June, 2023
Benchmarking knowledge-driven zero-shot learning.
J. Web Semant., 2023
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer.
Proceedings of the ACM Web Conference 2023, 2023
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
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Proceedings of the 31st ACM International Conference on Multimedia, 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Relational Message Passing for Fully Inductive Knowledge Graph Completion.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Tele-Knowledge Pre-training for Fault Analysis.
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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022
Tele-Knowledge Pre-training for Fault Analysis.
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CoRR, 2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.
CoRR, 2022
Disentangled Ontology Embedding for Zero-shot Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022
Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.
Semantic Web, 2021
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey.
CoRR, 2021
K-ZSL: Resources for Knowledge-driven Zero-shot Learning.
CoRR, 2021
OntoZSL: Ontology-enhanced Zero-shot Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Zero-Shot Visual Question Answering Using Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Knowledge-aware Zero-Shot Learning: Survey and Perspective.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Generative Adversarial Zero-shot Learning via Knowledge Graphs.
CoRR, 2020
Ontology-guided Semantic Composition for Zero-shot Learning.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020
Zero-shot Text Classification via Reinforced Self-training.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract].
CoRR, 2019
Price evaluation model in second-hand car system based on BP neural network theory.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017