標(biāo)題: Titlebook: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence; 8th China Conference Haofen Wang,Xianpei [打印本頁(yè)] 作者: 小客車(chē) 時(shí)間: 2025-3-21 16:41
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence影響因子(影響力)
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence被引頻次
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence被引頻次學(xué)科排名
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence年度引用
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence年度引用學(xué)科排名
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence讀者反饋
書(shū)目名稱(chēng)Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence讀者反饋學(xué)科排名
作者: foodstuff 時(shí)間: 2025-3-21 22:52
https://doi.org/10.1007/978-981-99-7224-1artificial intelligence; computational linguistics; computer networks; data mining; databases; graph theo作者: 使更活躍 時(shí)間: 2025-3-22 00:49 作者: Hangar 時(shí)間: 2025-3-22 04:43
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence978-981-99-7224-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 猛烈責(zé)罵 時(shí)間: 2025-3-22 12:25
Dynamic Weighted Neural Bellman-Ford Network for?Knowledge Graph Reasoninggraphs to compute only the most relevant relations and entities. This way, we can integrate multiple reasoning paths more flexibly to achieve better interpretable reasoning, while scaling more easily to more complex and larger KGs. DyNBF consists of two key modules: 1) a transformer-based relation w作者: 坦白 時(shí)間: 2025-3-22 13:03
Exploring the?Logical Expressiveness of?Graph Neural Networks by?Establishing a?Connection with? for the handling of both unary and binary predicates in . formulas. We prove that the proposed models possess the same expressiveness as .. Through experiments conducted on synthetic and real datasets, we validate that our proposed models outperform both ACR-GNN and a widely-used model, GIN, in the作者: 挑剔小責(zé) 時(shí)間: 2025-3-22 18:18 作者: 過(guò)于平凡 時(shí)間: 2025-3-23 00:33
Relation Repository Based Adaptive Clustering for?Open Relation Extractionon boundary, which lead to generate cluster-friendly relation representations to improve the effect of open relation extraction. Experiments on two public datasets show that our method can effectively improve the performance of open relation extraction.作者: Statins 時(shí)間: 2025-3-23 01:40 作者: impale 時(shí)間: 2025-3-23 07:02
Multi-Perspective Frame Element Representation for?Machine Reading Comprehensiondemonstrate that our proposed model outperforms existing state-of-the-art methods. The superiority of our approach highlights its potential for advancing the field of MRC and showcasing the importance of properly modeling FEs for better semantic understanding.作者: 懲罰 時(shí)間: 2025-3-23 10:36
Conversational Search Based on?Utterance-Mask-Passage Post-trainings three training tasks: passage relevance classification, utterance correlation classification, and context mask. Our method decomposes complex conversation history into short contexts, learns fine-grained semantic associations between utterances and document passages through three training tasks ba作者: 孤僻 時(shí)間: 2025-3-23 17:15 作者: 有機(jī)體 時(shí)間: 2025-3-23 21:48
reveals that businesses are not mere non-state agents among many, but indeed, the principal non-state agents in geopolitics. The book is an essential read for sch978-3-031-45327-4978-3-031-45325-0Series ISSN 2731-5061 Series E-ISSN 2731-507X 作者: 危機(jī) 時(shí)間: 2025-3-24 01:26
Zhangquan Zhou,Chengbiao Yang,Qianqian Zhang,Shijiao Tangture challenges that Europe in particular and Eurasia, in general, will face, discussing specific features shaping current affairs and identifying the main drivers - countries and specific regional elements - f978-3-031-33942-4978-3-031-33940-0Series ISSN 2731-5061 Series E-ISSN 2731-507X 作者: anthropologist 時(shí)間: 2025-3-24 02:43 作者: 我說(shuō)不重要 時(shí)間: 2025-3-24 07:18
Lifang Wu,Yan Chen,Jie Yang,Ge Shi,Xinmu Qi,Sinuo Deng作者: Preamble 時(shí)間: 2025-3-24 11:31
Haitao Wang,Jiale Zheng,Ivan E. Carvajal-Roca,Linghui Chen,Mengqiu Bai作者: antipsychotic 時(shí)間: 2025-3-24 16:53 作者: Efflorescent 時(shí)間: 2025-3-24 23:02 作者: 冷峻 時(shí)間: 2025-3-25 01:39 作者: 記憶 時(shí)間: 2025-3-25 06:00 作者: MENT 時(shí)間: 2025-3-25 11:25
Yichi Zhang,Wen Zhangtribute greatly to the generation of competitive advantage and the better positioning of these companies on the market..The authors attempt to highlight some of the reasons behind this technological gap that runs counter to sustainable development, against the backdrop of the strategies adopted by m作者: 金盤(pán)是高原 時(shí)間: 2025-3-25 12:33
Le Xiao,Xin Shan,Yuhua Wang,Miaolei Deng, allenfalls noch Persien, aber auch sie konnten nur durch eine Reihe von rechtzeitig erfolgten ?H?utungsprozessen“ ein so hohes Alter erreichen. In dem einen Punkt unterscheidet sich n?mlich das Lebewesen Staat von den anderen Lebewesen der organischen Welt: es kann unter glücklichen Umst?nden gele作者: aplomb 時(shí)間: 2025-3-25 17:38 作者: interpose 時(shí)間: 2025-3-25 22:21
Ke Chang,Ping Jianamic materials with controllable mechanical and thermal properties after being treated or holding at high temperature for a given period of time. This makes it possible to render geopolymers and their composites as promising precursors for the preparation of high-temperature ceramics with potential 作者: HALO 時(shí)間: 2025-3-26 03:52 作者: FLUSH 時(shí)間: 2025-3-26 06:06
Chao Tian,Tian Wang,Ding Zhan,Yubiao Chang,Xingyu Wu,Cui Chen,Xingjuan Cai,Endong Tong,Wenjia Niuar: ?Als der K?nig die Gesetze vom 17. Januar 1820 und v. 5. Juni 1823 in ihren unerfüllten Theilen zu erfüllen, als er die provisorien, welche sie enthielten, in Definitiva zu verwandeln sich entschlossen hatte, da wax es zugleich sein hochherziger Entschlu?, den Vollgehalt der Rechte, welche er se作者: ensemble 時(shí)間: 2025-3-26 09:01
ar: ?Als der K?nig die Gesetze vom 17. Januar 1820 und v. 5. Juni 1823 in ihren unerfüllten Theilen zu erfüllen, als er die provisorien, welche sie enthielten, in Definitiva zu verwandeln sich entschlossen hatte, da wax es zugleich sein hochherziger Entschlu?, den Vollgehalt der Rechte, welche er se作者: 針葉類(lèi)的樹(shù) 時(shí)間: 2025-3-26 14:46
Shiyulong He,Sai Zhang,Xiaowang Zhang,Zhiyong Feng gewinnt die Produktion von nachwachsenden Rohstoffen wieder an Bedeutung und erh?ht den Produktivit?tsdruck auf die B?den. Auf der anderen Seite gehen erhebliche Mengen an Biomasse durch eine nicht effiziente Nutzung, mangelnde Logistik oder unsachgem??e Lagerung verloren.作者: 針葉樹(shù) 時(shí)間: 2025-3-26 20:41
gewinnt die Produktion von nachwachsenden Rohstoffen wieder an Bedeutung und erh?ht den Produktivit?tsdruck auf die B?den. Auf der anderen Seite gehen erhebliche Mengen an Biomasse durch eine nicht effiziente Nutzung, mangelnde Logistik oder unsachgem??e Lagerung verloren.作者: 流浪者 時(shí)間: 2025-3-27 00:37
Dynamic Weighted Neural Bellman-Ford Network for?Knowledge Graph ReasoningGR). However, prior studies tend to focus solely on enhancing entity representations using related relations, with little attention paid to the impact of different relations on different entities and their importance in various reasoning paths. Meanwhile, conventional Graph Neural Networks (GNNs) ut作者: 詼諧 時(shí)間: 2025-3-27 02:51
CausE: Towards Causal Knowledge Graph Embeddingcan be employed to predict the missing triples to achieve knowledge graph completion (KGC). However, KGE models often only briefly learn structural correlations of triple data and embeddings would be misled by the trivial patterns and noisy links in real-world KGs. To address this issue, we build th作者: Harness 時(shí)間: 2025-3-27 08:46
Exploring the?Logical Expressiveness of?Graph Neural Networks by?Establishing a?Connection with?ed data. However, the computational power and logical expressiveness of GNNs are still not fully understood. This work explores the logical expressiveness of GNNs from a theoretical view and establishes a connection between them and the fragment of first-order logic, known as ., which servers as a l作者: 商議 時(shí)間: 2025-3-27 11:20
Research on Joint Representation Learning Methods for Entity Neighborhood Information and Descriptioombines entity neighborhood information and description information is proposed. Firstly, a graph attention network is employed to obtain the features of entity neighboring nodes, incorporating relationship features to enrich the structural information. Next, the BERT-WWM model is utilized in conjun作者: sigmoid-colon 時(shí)間: 2025-3-27 14:15 作者: Aromatic 時(shí)間: 2025-3-27 20:43
NTDA: Noise-Tolerant Data Augmentation for?Document-Level Event Argument Extractionaugmentation can leverage annotated data to augment training data, but always encounters the issue of noise. The noise mainly consists of two aspects: boundary annotation differences and domain knowledge discrepancy, which may significantly impact the effectiveness of data augmentation. In this pape作者: N斯巴達(dá)人 時(shí)間: 2025-3-28 00:07
Event-Centric Opinion Mining via?In-Context Learning with?ChatGPTof events themselves, encompassing their underlying causes, effects, and consequences. This helps us to understand and explain social phenomena in a more comprehensive way. In this regard, we introduce ChatGPT-opinion mining as a framework that transforms event-centric opinion mining tasks into ques作者: 潛伏期 時(shí)間: 2025-3-28 02:50
Relation Repository Based Adaptive Clustering for?Open Relation Extractionmantically overlapping regions often remain indistinguishable. In this work, we propose an adaptive clustering method based on a relation repository to explicitly model the semantic differences between clusters to mitigate the relational semantic overlap in unlabeled data. Specifically, we construct作者: PSA-velocity 時(shí)間: 2025-3-28 06:30
LNFGP: Local Node Fusion-Based Graph Partition by?Greedy Clusteringn graph partitioning can be generally categorized into two types: vertex partitioning and edge partitioning. Due to the independent nature of vertex partitioning, which facilitates easier management and maintenance, vertex partitioning methods have become more practical and popular. However, most ex作者: Insufficient 時(shí)間: 2025-3-28 13:08
Multi-Perspective Frame Element Representation for?Machine Reading Comprehension knowledge provided by FrameNet to enhance the performance of MRC systems. While significant efforts have been dedicated to Frame representation, there is a noticeable lack of research on Frame Element (FE) representation, which is equally crucial for MRC. We propose a groundbreaking approach called作者: separate 時(shí)間: 2025-3-28 17:55
A Generalized Strategy of?Chinese Grammatical Error Diagnosis Based on?Task Decomposition and?Transflanced distribution of subtype occurrences and the emergence of new subtypes, which pose a threat to the generalization ability of CGED models. In this paper, we propose a sentence editing and character filling-based CGED strategy that conducts task decomposition and transformation based on differen作者: ostensible 時(shí)間: 2025-3-28 19:25
Conversational Search Based on?Utterance-Mask-Passage Post-training users ask questions and get answers step by step through multiple rounds of conversations, conversation history is usually utilized to enhance retrieval accuracy. Existing methods rely too heavily on conversation history to retrieve while ignoring the semantics of the current question. However, the作者: CROAK 時(shí)間: 2025-3-28 22:58
Financial Fraud Detection Based on?Deep Learning: Towards Large-Scale Pre-training Transformer Modelques learn the intrinsic knowledge of huge data, build explainable transaction knowledge graphs, and effectively predict potential fraudulent transactions, making it an essential technique in financial fraud detection. In this paper, we systematically review the existing financial fraud detection te作者: Lacunar-Stroke 時(shí)間: 2025-3-29 06:29
GERNS: A Graph Embedding with?Repeat-Free Neighborhood Structure for?Subgraph Matching Optimizational sciences, chemistry, biology and database systems. Existing subgraph matching approaches can be broadly categorized into two types: exact matching and approximate matching. Due to allowing for slight variations between the target and query graphs, approximate matching has become a more practical 作者: 有偏見(jiàn) 時(shí)間: 2025-3-29 07:16
he EU and NATO, closely follow Western policy recommendations. Accounts of security in particular presume that as these states seek security from the West, they gradually adopt Western conceptions of security. This chapter destabilizes the convenient imagery of obliging Central Europeans. It undersc作者: 條約 時(shí)間: 2025-3-29 14:04
ns to states.This book sheds light on the intricate relationship between geopolitics and business and the essential interdependence between corporations and geopolitics. Despite apparent animosity, practical solutions and theories proposed by geopolitics find resonance within the business world, and作者: 表臉 時(shí)間: 2025-3-29 15:53 作者: 混合,攙雜 時(shí)間: 2025-3-29 21:50
Yichi Zhang,Wen Zhangon. The specialized international bodies (UNCTAD, OECD, etc.) have shown that some emerging states have made a great technological leap that enabled them to achieve significant economic growth and reduce absolute and relative poverty. However, the technological gap between the rich and the poor stat作者: 美色花錢(qián) 時(shí)間: 2025-3-30 02:02 作者: conifer 時(shí)間: 2025-3-30 05:07 作者: 頭盔 時(shí)間: 2025-3-30 11:02
st die Besitzteilung oder die Zerlegung in einzelne Interessensph?ren nicht mehr zur Ausgleichung der Gegens?tze, sondern da müssen noch andere Ma?nahmen getroffen werden, damit keine gef?hrlichen Reibungsfl?chen entstehen. Zuweilen genügt es, wenn ein ausw?rtiges Land, dessen Erschlie?ung ein eintr作者: Hallmark 時(shí)間: 2025-3-30 15:08
Ke Chang,Ping Jianposites have attracted considerable attentions in the fields of construction, metallurgy, and hazardous elements immobilization due to their unique properties such as low-temperature preparation, facile and cost-effective processing, excellent heat and corrosion resistance, and environmentally frien作者: Projection 時(shí)間: 2025-3-30 19:47 作者: miracle 時(shí)間: 2025-3-30 21:52
Chao Tian,Tian Wang,Ding Zhan,Yubiao Chang,Xingyu Wu,Cui Chen,Xingjuan Cai,Endong Tong,Wenjia Niu sind, machten auch im Febr. 1815 die preu?ischen Bevollm?chtigten Vorschl?ge über eine st?ndische Verfassung. Das Ergebni? der betreffenden Verhandlungen war der Art. 13. der Bundesakte. Sp?tehin ist allerdings die Frage wegen Einführung st?ndischer Verfassungen beim Bunde wieder in Berathung gekom
