Results 211 to 220 of about 260,337 (262)

Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs. [PDF]

PLoS One
Xiao B, Yin W.
europepmc   +1 more source

Humoral and cytokine responses to a heterologous goatpox vaccine in Mithun (<i>Bos frontalis</i>): a longitudinal field study. [PDF]

Front Immunol
Reddy GBM, Ramesh V, Somagond YM, Goswami P, Ragulraj S, Lalzampuia H, Pal S, Nagaraj S, Tadakod S, Jabeen U, Bijalwan S, Ramakrishnan MA, Gulati BR, Girish PS.   +13 more
europepmc   +1 more source

Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder. [PDF]

Bioinformatics
Hu JX, Pan X, Yuan Y, Shen HB.
europepmc   +1 more source

Out-of-distribution generalization enhances protein function annotation for low-homology sequences. [PDF]

Brief Bioinform
Fu Y, Chen J, Lin H, Gu Z, Long Q, Wan H, Luo X, Deng M.   +7 more
europepmc   +1 more source

BioNeuralNet: a graph neural network based Multi-Omics network data analysis tool. [PDF]

Bioinformatics
Ramos V, Hussein S, Abdel-Hafiz M, Sarkar A, Liu W, Kechris KJ, Bowler RP, Lange L, Banaei-Kashani F.   +8 more
europepmc   +1 more source

On labeling in graph visualization [PDF]

Information Sciences, 2007
When visualizing graphs, it is essential to communicate the meaning of each graph object via text or graphical labels. Automatic placement of labels in a graph is an NP-Hard problem, for which efficient heuristic solutions have been recently developed.
Konstantinos Kakoulis, Uğur Doğrusöz, Ioannis G Tollis   +2 more
exaly   +4 more sources

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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   +3 more sources

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   +2 more sources

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   +2 more sources

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