Results 261 to 270 of about 267,239 (309)

AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting. [PDF]

PLoS One
Shi P, Lu Q, Chen J, Lv X, Zhang L, Kuang L, Sun J.   +6 more
europepmc   +1 more source

INVA8001, a novel and highly selective chymase inhibitor, ameliorates liver inflammation, fibrosis, and hyperplasia in Mdr2 knockout mice. [PDF]

Front Med (Lausanne)
Sharma S, Chen L, Zhou T, Chawla M, Ganjoo A, Okada S, Alesci S, Nandabalan K, Francis H.   +8 more
europepmc   +1 more source

Visualization of Graph Products

IEEE Transactions on Visualization and Computer Graphics, 2010
Graphs are a versatile structure and abstraction for binary relationships between objects. To gain insight into such relationships, their corresponding graph can be visualized. In the past, many classes of graphs have been defined, e.g. trees, planar graphs, directed acyclic graphs, and visualization algorithms were proposed for these classes. Although
Stefan Jänicke, Christian Heine 0002, Marc Hellmuth, Peter F. Stadler, Gerik Scheuermann   +4 more
openaire   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Visualization of Trustworthiness Graphs

Proceedings of the 24th International Conference on World Wide Web, 2015
Trustworthiness is a field of research that seeks to estimate the credibility of information by using knowledge of the source of the information. The most interesting form of this problem is when different pieces of information share sources, and when there is conflicting information from different sources.
Stephen Mayhew 0001, Dan Roth 0001
openaire   +1 more source

Visual Graph Comparison

2009 13th International Conference Information Visualisation, 2009
Researchers and analysts in many fields are sometimes confronted with the task of comparing and contrasting two similar but different graphs or networks. This paper presents a technique and prototype tool to support the visual comparison of graphs and the interactive reconciliation of candidate graphs into a single reference graph.
Keith Andrews, Martin Wohlfahrt, Gerhard Wurzinger   +2 more
openaire   +1 more source

Visualizing call graphs

2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2011
Developers navigate and reason about call graphs throughout investigation and debugging activities. This is often difficult: developers can spend tens of minutes answering a single question, get lost and disoriented, and erroneously make assumptions, causing bugs. To address these problems, we designed a new form of interactive call graph visualization
Thomas D. LaToza, Brad A. Myers
openaire   +1 more source

Visual Inspection of Multivariate Graphs

Computer Graphics Forum, 2008
AbstractMost graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations and patterns in terms of data associated with nodes and edges, we present a technique where this data plays a more central role.
Pretorius, A.J., Wijk, van, J.J.
openaire   +1 more source