How to best define, detect and characterize network memory, i.e. the dependence of a network’s structure on its past, is currently a matter of debate. Here we show that the memory of a temporal network is inhe
MEMORYSOCIAL networksVIRTUAL communitiesHow to best define, detect and characterize network memory, i.e. the dependence of a network's structure on its past, is currently a matter of debate. Here we show that the memory of a temporal network is inherently multidimensional, and we introduce a ...
Human emotions fluctuate over time. However, it is unclear how these shifting emotional states influence the organization of episodic memory. Here, we examine how emotion dynamics transform experiences into memorable events. Using custom musical pieces a
研究领域:网络科学,时序网络,记忆形状,虚拟循环 徐恩峤| 作者 邓一雪| 编辑 论文题目: The shape of memory in temporal networks 论文地址: 1. 标量网络记忆难以洞察相关链接动力学 网络记忆(network memory),即某个网络在何种程度上与其历史相关,是时序网络动力学研究的重要内容。传统的标量网络记忆 Ω(G) 是...
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks MRIF - Multi-resolution Interest Fusion for Recommendation MARM - Unlocking the Future of Recommendation Systems through Memory Augmentation...
It is true that complex systems exhibit a hierarchical structure from a model perspective, delineated into multiple layers based on their granularity. Similarly, in the temporal domain, models can be static, capturing a snapshot of the system at a given moment, or they can be dynamic, capturing...
The rapidly expanding field of shape memory polymers (SMPs) is driven by a growing number of potential applications, such as biomaterials, optics, and electronics. The basic concept involves polymers that can be trapped in a thermodynamically-unfavorable shape, then triggered by an external stimulus...
Collaborative signals and dynamic user preference are considered in graph learning. • The relative proximity of spatial–temporal interval is explicitly emphasized. • A model combining self-attention and GCN is proposed for Next POI Recommendation. • The effectiveness and stability of the model...
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work-arXiv 2022. 3D Vision with Transformers: A Survey-arXiv 2022. A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective-arXiv 2022. ...
A process by which overlapping neural representations are separated to keep episodes independent of each other in memory. Perceptrons Multilayer feedforward artificial neural networks in which activity flows unidirectonally from one layer to the next. Multilayer perceptrons are often used to implement cl...