Cross-lingual knowledge graph alignment
Webthe knowledge graph and its dual relation coun-terpart, and further capture neighboring structures to learn better entity representations. Experiments on three real-world cross-lingual datasets show that our approach delivers better and more robust re-sults over the state-of-the-art alignment methods by learning better KG representations. 1 ... WebCross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. Proceedings of the 2024 Conference on Empirical Methods in Natural Language …
Cross-lingual knowledge graph alignment
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WebCross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. EMNLP 2024. Zhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang. [ Paper] Cross-lingual entity alignment via joint attribute-preserving embedding. ISWC 2024. Sun, Zequn and Hu, Wei and Li, Chengkai. [ Paper] Iterative entity alignment via joint knowledge embeddings. … WebApr 14, 2024 · Multilingual knowledge graph (KG) embeddings provide latent semantic representations of entities and structured knowledge with cross-lingual inferences, …
WebRethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment ... CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning ... Text with Knowledge Graph Augmented Transformer for Video Captioning http://c-s-a.org.cn/html/2024/3/8967.html
WebJan 1, 2024 · Li et al. [40] consider computing the similarity of two given graphs by a carefully designed cross-graph attention-based matching mechanism. Xu et al. [41] … WebFeb 11, 2024 · BootEA [ 31] is a bootstrapping approach for embedding-based entity alignment. It iteratively labels likely entity alignment as training data for learning alignment-oriented knowledge graph embeddings. GCN-Align [ 36] is a cross-lingual knowledge graph alignment via graph convolutional networks.
WebMay 1, 2024 · Cross-lingual Entity Alignment with Incidental Supervision Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth Much research effort has been put to multilingual knowledge graph (KG) embedding methods to address the entity alignment task, which seeks to match entities in different languagespecific KGs that refer to the same real …
WebJun 5, 2024 · In ISWC Workshop on Ontology Matching, 2014. [Chen et al., 2024] Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo. Multilingual knowledge graph embeddings for cross-lingual knowledge alignment. second hand croquet mallets for sale nzWebMar 10, 2024 · Knowledge graph integration typically suffers from the widely existing dangling entities that cannot find alignment cross knowledge graphs (KGs). The dangling entity set is unavailable in most real-world scenarios, and manually mining the entity pairs that consist of entities with the same meaning is labor-consuming. pune to frankfurt flightsWebApr 10, 2024 · Download Citation Investigating Graph Structure Information for Entity Alignment with Dangling Cases Entity alignment (EA) aims to discover the equivalent entities in different knowledge ... second hand cruiser boats for saleWebGraph convolutional network-based methods have become mainstream for cross-language entity alignment. The graph convolutional network has multi-order characteristics that not only process data more conveniently but also reduce the interference of noise effectively. Although the existing methods have achieved good results for the task of cross … second hand curtain eyelet machineWebMany applications new representation, embedding-based network alignment require an analysis of the correlations between multiple models [14], [15] do not suffer from the scalability problem networks [3], such as cross-platform social network anal- and have achieved good results. ysis [4], cross-lingual knowledge graph integration [5], and ... pune to dxb flightWebJul 6, 2024 · Cross-lingual knowledge graph entity alignment based on relation awareness and attribute involvement Authors: Beibei Zhu Tie Bao Lu Liu Jiayu Han Show all 6 authors Read publisher preview... pune to diveagar by carWebMultilingual knowledge graph embeddings for cross-lingual knowledge alignment. Proceedings of the 26th International Joint Conference on Artificial Intelligence. Melbourne: AAAI Press, 2024. 1511–1517. [11] Wang ZC, Lv QS, Lan XH, et al. Cross-lingual knowledge graph alignment via graph convolutional networks. Proceedings of the … pune to gadchiroli distance by road