The work has been proposed to parallelize the graph processing on clusters (distributed memory), multicore machines (shared memory) and GPU devices. Most existing research on GPU-based graph processing employs the vertex-centric processing model and the Compressed Sparse Row (CSR) form to store ...
X-Stream is a graph processing system for analytics on big graphs using a single machine. X-Stream is based on the philosophy that sequential access to data works best for all types of storage media: main memory, SSD and magnetic disk. It exposes the familiar scatter-gather programming model...
First, FastBFS uses an edgecentric graph processing model to obtain the high bandwidth of sequential disk accesses without expensive data preprocessing. ... S Cheng,G Zhang,J Shu,... - IEEE 被引量: 1发表: 2016年 WolfGraph: The edge-centric graph processing on GPU There is the significant...
TransEdge 是一个 edge-centric 的嵌入模型,根据实体上下文区分关系的表示。模型受到 KG 图结构的启发:一对实体可以有多重关系(该关系有多个标签);不同实体对可以有相同的关系(不同的关系可以有相同的标签)(这个说法有点像多语义关系的问题)。反正就感觉说了半天也不知道它到底想解决个什么问题。
Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation 来自 Springer 喜欢 0 阅读量: 1 作者:Z Yao,J Li,J Cen,S Sun,D Yin,Y Wang 摘要: Given the remarkable text generation capabilities of pre-trained language models, impressive results have ...
An edge-centric perspective on the human connectome: link communities in the brain 来自 国家科技图书文献中心 喜欢 0 阅读量: 59 作者:MA de Reus,VM Saenger,RS Kahn,MP van 摘要: Brain function depends on efficient processing and integration of information within a complex network of neural ...
S. Rahman, HIDEchain: a user-centric secure edge computing architecture for healthcare IoT devices, in IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2020: IEEE, pp. 376–381 M. Peyman, P.J. Copado, R.D. Tordecilla, Ld.C. Martins, F. Xhafa, A...
graph theorypattern clusteringrendering (computer graphics)/ image-based edge bundlelarge graph visualizationedge-bundling layoutbundle-centric simplified visual ... A Telea,O Ersoy - 《Computer Graphics Forum》 被引量: 147发表: 2010年 Representing Uncertainty in Graph Edges: An Evaluation of Paired ...
These edge-centric functions distribute computations closer to the sensors, avoid cluttering the cloud, and support real-time agriculture. Next, we formulated mathematical models for crop and environmental sensing data. Growth data model We divide the crop lifecycle into\(K\)phenological growth stages...
Abstract Network neuroscience has relied on a node-centric network model in which cells, populations and regions are linked to one another via anatomical or functional connections. This model cannot account for interactions of edges with one another. In this study, we developed an edge-centric netw...