Link Prediction using Graph Neural Networks for Master Data Management

学习银行信息管理中的交易表示：掌握局部、全局和外部知识

Learning Transactions Representations for Information Management in Banks: Mastering Local, Global, and External Knowledge

为降低银行多任务模型维护成本，比较八种无监督方法并引入整合外部信息的新方法，使准确率最高提升20%。

Use of Bayesian Network characteristics to link project management maturity and risk of project overcost

The project management field has the imperative to increase the project probability of success. Experts have developed several project management maturity models to assets and improve the project outcome. However, the current literature lacks of models allowing correlating the measured maturity and the expected probability of success. This paper uses the characteristics of Bayesian networks to formalize experts' knowledge and to extract knowledge from a project overcost database. It develops a method to estimate the impact of project management maturity on the risk of project overcost. A gener…

GNN基实体解析在主数据管理中的表达性层级研究

A Tight Expressivity Hierarchy for GNN-Based Entity Resolution in Master Data Management

本文研究了基于GNN的实体解析问题，提出通过四种定理分离理论确定最经济的MPNN架构，揭示了检测共享属性与多共享属性之间的复杂度差距。

用于 O-RAN 移动性管理的图神经网络：一种链路预测方法

Graph Neural Networks for O-RAN Mobility Management: A Link Prediction Approach

针对 5G/O-RAN 反应式切换资源开销问题，提出基于 GNN 用户—小区链路预测的主动切换框架，并在真实数据集上比较两类模型。

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management

In this paper, we present an approach for predicting trust links between peers in social media, one that is grounded in the artificial intelligence area of multiagent trust modeling. In particular, we propose a data-driven multi-faceted trust modeling which incorporates many distinct features for a comprehensive analysis. We focus on demonstrating how clustering of similar users enables a critical new functionality: supporting more personalized, and thus more accurate predictions for users. Illustrated in a trust-aware item recommendation task, we evaluate the proposed framework in the context…

整合复杂组织和数据管理：全景监狱范例

Reconciling complex organizations and data management: the Panopticon paradigm

在过去的几年里，主要的IT公司已经建立了软件解决方案和变更管理计划，通过增强其商业智能系统来促进相关组织内的数据质量管理。这些产品都是非常相似的数据治理方案，基于一种称为主数据管理的通用范式。这些计划似乎一般不适合复杂的扩展组织的背景下。另一方面，基于社区的数据治理计划显示出其自身的效率，有助于提高数字社交网络中数据的可靠性，并能够满足用户的期望。在简要分析了扩展组织的数据治理的非常具体的约束权重，以及与管理控制和IT相关的监控和监管过程的特殊性之后，我们提出了一个新的方案，该方案受到了福柯对治理的分析的启发：Panopticon数据治理范式。