Titlebook: Entity Alignment; Concepts, Recent Adv Xiang Zhao,Weixin Zeng,Jiuyang Tang Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s

frugal

tooth-decay

https://doi.org/10.1007/978-3-319-97244-2ast different views of entity representations and augment the limited supervision signals by exploiting the vast unlabeled data. We empirically evaluate our proposal on eight popular KG pairs, and the results demonstrate that our proposed model and its components consistently boost the alignment performance under scarce supervision.

Allergic

Schlemms-Canal

單色

Translating Statistics to Make Decisionsoses a degree-aware . network that dynamically adjusts the significance of features in a degree-aware manner. Finally, we propose using confident entity alignment results as anchors to complement original KGs with facts from their counterparts via . training during post-alignment. Experimental evalu

商業(yè)上

過濾

The Toledo School of Translation,ew approach for aligning entities across multiple modalities, which we call hyperbolic multi-modal entity alignment (.). This method expands upon the conventional Euclidean representation by incorporating a hyperboloid manifold. Initially, we utilize hyperbolic graph convolutional networks(.) to acq

命令變成大炮

Classify

Fulsome