標題: Titlebook: Entity Alignment; Concepts, Recent Adv Xiang Zhao,Weixin Zeng,Jiuyang Tang Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s [打印本頁] 作者: CLAST 時間: 2025-3-21 18:33
書目名稱Entity Alignment影響因子(影響力)
書目名稱Entity Alignment影響因子(影響力)學科排名
書目名稱Entity Alignment網(wǎng)絡公開度
書目名稱Entity Alignment網(wǎng)絡公開度學科排名
書目名稱Entity Alignment被引頻次
書目名稱Entity Alignment被引頻次學科排名
書目名稱Entity Alignment年度引用
書目名稱Entity Alignment年度引用學科排名
書目名稱Entity Alignment讀者反饋
書目名稱Entity Alignment讀者反饋學科排名
作者: Banister 時間: 2025-3-21 23:38 作者: FELON 時間: 2025-3-22 04:06
Long-Tail Entity Alignment majority of entities have a sparse neighborhood structure, while only a few entities are densely connected to others. These less-connected entities are referred to as ., and this phenomenon limits the effectiveness of using structural information for entity alignment..To address this issue, we prop作者: 施舍 時間: 2025-3-22 05:35
Weakly Supervised Entity Alignment calls for the study of EA with .. To resolve this issue, we put forward a . entity alignment framework to select the entities to be manually labeled with the aim of enhancing alignment performance with minimal labeling efforts. Under this framework, we further devise an unsupervised . loss to contr作者: jet-lag 時間: 2025-3-22 12:03 作者: CRACK 時間: 2025-3-22 16:29
Multimodal Entity Alignment to combine these different forms of information into a knowledge graph, creating a multi-modal knowledge graph (MMKG). However, multi-modal knowledge graphs (MMKGs) often face issues of insufficient data coverage and incompleteness. In order to address this issue, a possible strategy is to incorpor作者: CRACK 時間: 2025-3-22 20:38 作者: 使害羞 時間: 2025-3-22 23:01
Book‘‘‘‘‘‘‘‘ 2023t knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment fr作者: 信徒 時間: 2025-3-23 04:38 作者: 干旱 時間: 2025-3-23 06:37
Weakly Supervised Entity Alignmentast 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.作者: frugal 時間: 2025-3-23 11:11 作者: tooth-decay 時間: 2025-3-23 15:20
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.作者: Allergic 時間: 2025-3-23 19:46 作者: Schlemms-Canal 時間: 2025-3-23 23:47 作者: 單色 時間: 2025-3-24 03:01
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作者: 商業(yè)上 時間: 2025-3-24 07:38 作者: 過濾 時間: 2025-3-24 13:22
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作者: 命令變成大炮 時間: 2025-3-24 15:08 作者: Classify 時間: 2025-3-24 19:16 作者: Fulsome 時間: 2025-3-25 01:23 作者: micturition 時間: 2025-3-25 06:39
Unsupervised Entity Alignmenthe alignment performance by enriching the pseudo-labeled data with alignment results from the previous round. Our solution does not require labeled data and can effectively filter out unmatchable entities. Comprehensive experimental evaluations validate its superiority.作者: 全部逛商店 時間: 2025-3-25 07:41 作者: 相一致 時間: 2025-3-25 14:21
Translating Film Subtitles into ChineseIn this section, we provide a concise overview of the entity alignment task and also discuss other related tasks that have a close connection to entity alignment.作者: 粗鄙的人 時間: 2025-3-25 17:37 作者: Inferior 時間: 2025-3-25 21:30
Translating Martial and Vergil,In this chapter, we introduce recent progress of the alignment inference stage.作者: commensurate 時間: 2025-3-26 02:17 作者: 繁忙 時間: 2025-3-26 07:03
Recent Advance of Representation Learning StageOver the last few years, there are a pile of research devoted to learning better KG representations to facilitate entity alignment. Thus, in this chapter, we summarize recent progress in the representation learning stage of EA and also provide a detailed empirical evaluation to reveal the strengths and weaknesses of current solutions.作者: FELON 時間: 2025-3-26 08:27
Recent Advance of Alignment Inference StageIn this chapter, we introduce recent progress of the alignment inference stage.作者: Alcove 時間: 2025-3-26 13:58 作者: Vasoconstrictor 時間: 2025-3-26 18:27 作者: Psa617 時間: 2025-3-27 00:18
Translating Statistics to Make Decisions majority of entities have a sparse neighborhood structure, while only a few entities are densely connected to others. These less-connected entities are referred to as ., and this phenomenon limits the effectiveness of using structural information for entity alignment..To address this issue, we prop作者: 平息 時間: 2025-3-27 03:41 作者: Processes 時間: 2025-3-27 08:27
Language as a Barrier to Comparative Lawnd cannot deal with entities that are unmatchable. To address these deficiencies, we offer an unsupervised framework that performs entity alignment in the open world. Specifically, we first mine useful features from the side information of KGs. Then, we devise an unmatchable entity prediction module作者: 樹上結蜜糖 時間: 2025-3-27 10:42
The Toledo School of Translation, to combine these different forms of information into a knowledge graph, creating a multi-modal knowledge graph (MMKG). However, multi-modal knowledge graphs (MMKGs) often face issues of insufficient data coverage and incompleteness. In order to address this issue, a possible strategy is to incorpor作者: Odyssey 時間: 2025-3-27 15:54 作者: Mnemonics 時間: 2025-3-27 18:34 作者: Mawkish 時間: 2025-3-27 22:13
Entity Alignment978-981-99-4250-3Series ISSN 2522-0179 Series E-ISSN 2522-0187 作者: 細微的差異 時間: 2025-3-28 02:52 作者: 微塵 時間: 2025-3-28 09:03
Big Data Managementhttp://image.papertrans.cn/e/image/311656.jpg作者: 山崩 時間: 2025-3-28 10:57 作者: menopause 時間: 2025-3-28 16:32
https://doi.org/10.1007/978-1-4471-7440-04]. Initially described as a distinct entity by Ashbaugh et al. [3] in 1967, the definition was modified and expanded by Murray et al. [5] in 1988, and finally in 1994, an American-European consensus conference (AECC) defined the criteria still used today to diagnose ALI/ARDS [1]:作者: Legend 時間: 2025-3-28 20:46 作者: interlude 時間: 2025-3-29 02:38
Book 2023ssible introduction and text structure allows beginners to study at their own pace as the material gradually increases in difficulty. The text introduces the concept of generalized Sobolev functions and L. Schwartz distributions briefly in the opening section, gradually approaching a more in-depth s
