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Degree-aware alignment for entities in tail

WebMar 11, 2024 · Degree-Aware Alignment for Entities in Tail. Conference Paper. Jul 2024; Weixin Zeng; Xiang Zhao; Wei Wang; Zhen Tan; View. BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment. WebThis degree difference between equivalent entities poses a great challenge for entity alignment. To solve this problem, a novel entity alignment framework that integrates a graph convolutional network (GCN) based embedding initializer and a degree aware generative adversarial network is proposed.

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WebDec 15, 2024 · Moreover, an iterative framework is designed to leverage the positive interactions between the entity alignment and the relation alignment in a semi-supervised manner. Experimental results on three real-world datasets demonstrate that the proposed model RNM performs better than state-of-the-art methods. WebEntity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous sources of information and facilitates the integration of knowledge. Existing EA solutions mainly rely on structural information to align entities, typically through KG embedding. Nonetheless, in real-life KGs, only a few entities are densely connected … tree fire video https://kibarlisaglik.com

(PDF) Iterative Entity Alignment with Improved Neural Attribute ...

WebDec 31, 2024 · Degree-Aware Alignment for Entities in Tail ... which dynamically adjusts the significance of features in a degree-aware manner. For post-alignment, we propose to complement original KGs with facts from their counterparts by using confident EA results as anchors via iterative training. Comprehensive experimental evaluations validate the ... Webbeen dedicated to the alignment of KGs, since different KGs usually contain comple-mentary information. Particularly, entity alignment (EA), which aims to identify equiva-lent entities in different KGs, is a crucial step of KG alignment and has been intensively studied over the last few years [1–8]. We use Example 1 to illustrate this task. WebMay 28, 2024 · This degree difference between equivalent entities poses a great challenge for entity alignment. To solve this problem, a novel entity alignment framework that … tree fire fox news

Degree-Aware Alignment for Entities in Tail - typeset.io

Category:‪Xiang Zhao‬ - ‪Google Scholar‬

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Degree-aware alignment for entities in tail

Degree-Aware Alignment for Entities in Tail - typeset.io

WebEntity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous sources of information and facilitates the integration of … WebMay 25, 2024 · For pre-alignment phase, we seek additional signals that can benefit EA, and discover a source of information from entity names. It is generally available among …

Degree-aware alignment for entities in tail

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WebDec 8, 2024 · Knowledge graphs represent structural information about entities in real world as triples. The relational triples T in the KG can be represented as \(T = \left( {h, r, t} \right)\), where h and t represent the head entity and the tail entity, respectively, and r denotes multiple relationships between two entities. Our goal is to design a framework to … WebMay 28, 2024 · To address the above challenge and mitigate the impact of degree difference on entity alignment task, a novel degree aware adversarial graph convolutional network (DAGCN) framework is proposed to align equivalent entities in heterogeneous KGs. ... Degree-aware alignment for entities in tail, in. Proceedings of the 43rd …

WebSep 18, 2024 · Entity alignment; Degree-aware random walk; Download conference paper PDF 1 Introduction. Knowledge graphs (KGs) are playing an increasingly important role … WebDegree-Aware Alignment for Entities in Tail: SIGIR: 2024: NMN: Neighborhood Matching Network for Entity Alignment: ACL: 2024: REA: Robust Cross-lingual Entity Alignment between Knowledge Graphs: KDD: 2024: HyperKE: Knowledge Association with Hyperbolic Knowledge Graph Embeddings: EMNLP: 2024: AttrGNN:

WebFeb 1, 2024 · To solve this problem, a novel entity alignment framework that integrates a graph convolutional network (GCN) based embedding initializer and a degree aware generative adversarial network is proposed. WebarXiv.org e-Print archive

WebFeature Alignment and Uniformity for Test Time Adaptation Shuai Wang · Daoan Zhang · Zipei YAN · Jianguo Zhang · Rui Li MMANet: Margin-aware Distillation and Modality …

WebAug 5, 2024 · For long-tail entities, such monitoring is highly challenging, due to their limited, if not entirely missing, representation in the reference KB. In this paper, we address the problem of retrieving textual contexts for monitoring long-tail entities. ... Degree-Aware Alignment for Entities in Tail Entity alignment (EA) is to discover equivalent ... tree firewood holderWebStep 2: Choose a structural model. We use RSNs in our paper. As pointed out in the paper, other models are also viable, e.g., GCN and JAPE. This code is based on GCN due to its simplicity. It can be easily replaced with RSNs. treefishWebDegree-aware alignment for entities in tail. In Proceedings of SIGIR. ACM, 811–820. Google Scholar Digital Library; Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, … treefish rockfishWebOct 26, 2024 · Degree-Aware Alignment for Entities in Tail. Conference Paper. Jul 2024; Weixin Zeng; Xiang Zhao; Wei Wang; Zhen Tan; View. Jointly Learning Entity and Relation Representations for Entity Alignment. tree firstWebMay 25, 2024 · Degree-Aware Alignment for Entities in Tail. Entity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous … tree firmly planted by the waterWebMay 25, 2024 · To this end, a degree-aware co-attention network is conceived, which dynamically adjusts the significance of features in a degree-aware manner. For post … tree fireplace screenWebJul 25, 2024 · Entity alignment is the task of finding equivalent entities in two KGs that refer to the same real-world object, which plays a pivotal step in automatically consolidating … tree fish california