Outlier Detection from Network Data with Subnetwork Interpretation

Detecting a small number of outliers from a set of data observations is always challenging. This problem is more difficult in the setting of multiple network samples, where computing the anomalous degree of a network sample is generally not sufficient. In fact, explaining why the network is exceptional, expressed in the form of subnetwork, is also equally important. In this paper, we develop a novel algorithm to address these two key problems. We treat each network sample as a potential outlier and identify subnetworks that mostly discriminate it from nearby regular samples. The algorithm is developed in the framework of network regression combined with the constraints on both network topology and L1-norm shrinkage to perform subnetwork discovery. Our method thus goes beyond subspace/subgraph discovery and we show that it converges to a global optimum. Evaluation on various real-world network datasets demonstrates that our algorithm not only outperforms baselines in both network and high dimensional setting, but also discovers highly relevant and interpretable local subnetworks, further enhancing our understanding of anomalous networks

Event Detection on Dynamic Graphs

Event detection is a critical task for timely decision-making in graph analytics applications. Despite the recent progress towards deep learning on graphs, event detection on dynamic graphs presents particular challenges to existing architectures. Real-life events are often associated with sudden deviations of the normal behavior of the graph. However, existing approaches for dynamic node embedding are unable to capture the graph-level dynamics related to events. In this paper, we propose DyGED, a simple yet novel deep learning model for event detection on dynamic graphs. DyGED learns correlations between the graph macro dynamics -- i.e. a sequence of graph-level representations -- and labeled events. Moreover, our approach combines structural and temporal self-attention mechanisms to account for application-specific node and time importances effectively. Our experimental evaluation, using a representative set of datasets, demonstrates that DyGED outperforms competing solutions in terms of event detection accuracy by up to 8.5% while being more scalable than the top alternatives. We also present case studies illustrating key features of our model.Comment: Longer version of "Graph Macro Dynamics with Self-Attention for Event Detection" accepted to DLG-AAAI 202

Seeding time on irrigated rice

Em seis experimentos de campo, semeados em outubro, novembro e dezembro de 1978 e 1979, foram estudados os efeitos da brusone (Pyricularia oryzae Cav.) e de temperatura baixas (frio) sobre a produção das cultivares de arroz (Oryza sativa L.) Bluebelle, EEA 406, IRGA 408, Dawn e Caloro. Os resultados permitiram concluir que a época de semeadura influi na produtividade do arroz e que a produção das épocas tardias (dezembro) é mais prejudicada pelos danos da brusone e do frio, simultaneamente. Determinou-se, também, que as cultivares estudadas apresentam comportamentos diversos quanto à sua sensibilidade a esses fatores, e que a semeadura em épocas precoces - outubro e novembro - oferece à cultura maiores possibilidades de escapar desses danos. A brusone foi mais danosa sobre as cultivares Caloro e EEA 406, enquanto que o frio prejudicou mais a produção de IRGA 408 e Dawn. A cultivar Bluebelle, de ciclo precoce, sofreu os efeitos de ambos os fatores de maneira mais suave e apresentou maiores chances de escape. Não foram obtidas correlações satisfatórias entre os danos da brusone e as condições meteorológicas.At six field experiments, seeded in October, November and December of 1978 and 1979, the rice blast disease (Pyricularia oryzae Cav.) and low temperature effects on the grain yield of the rice cultivars Bluebelle, EEA 406, IRGA 408, Dawn, and Caloro, were studied. The results showed that seeding time had effect on rice yield, and in the later seeding times, in December the yield was reduced simultaneously by the rice blast disease and cold. It was also determinated that the rice cultivars show differences on susceptibility to these factors, and that the early seeding, at October and November, gives the cultivation more chances for the rice crop lo escape from both blast and cold damages. The rice blast disease attack was more severe on the rice cultivars Caloro and EEA 406. On the other hand, the low temperatures injured more the rice cultivars IRGA 408 and Dawn. The Bluebelle, a short growth duration variety has more chances lo escape from these losses. No satisfactory correlation was obtained between the rice blast disease losses and the metheorological conditions

Rangelia vitalii infection in a dog from São Paulo city, Brazil: case report

Canine rangeliosis is an extravascular hemolytic disease caused by the protozoan Rangelia vitalii, which is transmitted by ticks of the species Amblyomma aureolatum. Te most common clinical signs are apathy, hyperthermia and spontaneous bleeding. Anemia and thrombocytopenia are the most common hematological fndings. Tis work reports a clinical case of canine Rangeliosis treated at a private veterinary hospital, in São Paulo city in 2017. A dog was treated at a veterinary hospital in the north of São Paulo, with progressive weight loss, apathy and tail injury. Anemia and thrombocytopenia were observed on the hemogram. Rangelia vitalii DNA was detected in animal blood by real-time PCR (qPCR). In addition to the supportive treatment, doxycycline and subcutaneous imidocarb applications were used. Te sample collected afer treatment with the antibiotic continued to present protozoal DNA. Te disease should be considered as a diferential diagnosis and there is a great need for further studies about the therapy used.A rangeliose canina é uma doença hemolítica extravascular causada pelo protozoário Rangelia vitalii, o qual é transmitido por carrapatos da espécie Amblyomma aureolatum. Os sinais clínicos mais comuns são apatia, hipertermia e sangramentos espontâneos. Os achados hematológicos mais comuns são anemia e trombocitopenia. Este trabalho teve como objetivo relatar um caso clínico de Rangeliose canina tratada em um hospital veterinário particular, na cidade de São Paulo no ano de 2017. Um cão foi atendido em um hospital veterinário da zona norte de São Paulo, com emagrecimento progressivo, apatia e lesão na cauda. No hemograma foram observadas anemia e trombocitopenia. Através da PCR em tempo real (qPCR) do sangue do animal constatou-se a presença de DNA de Rangelia vitalii. Além do tratamento de suporte, utilizou-se doxiciclina e aplicações subcutâneas de imidocarb. A amostra coletada após o tratamento com o antibiótico continuou apresentando DNA do protozoário. A enfermidade deve ser considerada como diagnóstico diferencial e há uma grande necessidade de maiores estudos acerca da terapia utilizada