Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Cha, Sang Kyun"'
Since its inception in 1984, the IEEE International Conference on Data Engineering (ICDE) has become a premier forum for the exchange and dissemination of data management research results among researchers, users, practitioners, and developers. Conti
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A82084
https://tud.qucosa.de/api/qucosa%3A82084/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A82084/attachment/ATT-0/
Graph Neural Networks (GNNs) are widely used in many modern applications, necessitating explanations for their decisions. However, the complexity of GNNs makes it difficult to explain predictions. Even though several methods have been proposed lately
Externí odkaz:
http://arxiv.org/abs/2211.01548
Graph Neural Networks (GNNs) have become increasingly ubiquitous in numerous applications and systems, necessitating explanations of their predictions, especially when making critical decisions. However, explaining GNNs is challenging due to the comp
Externí odkaz:
http://arxiv.org/abs/2210.11094
Autor:
Sikka, Vishal, Färber, Franz, Lehner, Wolfgang, Cha, Sang Kyun, Peh, Thomas, Bornhövd, Christof
The SAP HANA database is the core of SAP's new data management platform. The overall goal of the SAP HANA database is to provide a generic but powerful system for different query scenarios, both transactional and analytical, on the same data represen
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A80368
https://tud.qucosa.de/api/qucosa%3A80368/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A80368/attachment/ATT-0/
Graph Neural Networks (GNNs) are widely adopted in advanced AI systems due to their capability of representation learning on graph data. Even though GNN explanation is crucial to increase user trust in the systems, it is challenging due to the comple
Externí odkaz:
http://arxiv.org/abs/2208.03075
Autor:
Färber, Franz, Cha, Sang Kyun, Primsch, Jürgen, Bornhövd, Christof, Sigg, Stefan, Lehner, Wolfgang
The SAP HANA database is positioned as the core of the SAP HANA Appliance to support complex business analytical processes in combination with transactionally consistent operational workloads. Within this paper, we outline the basic characteristics o
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A79867
https://tud.qucosa.de/api/qucosa%3A79867/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A79867/attachment/ATT-0/
Paraphrase generation is a long-standing problem and serves an essential role in many natural language processing problems. Despite some encouraging results, recent methods either confront the problem of favoring generic utterance or need to retrain
Externí odkaz:
http://arxiv.org/abs/2011.14344
In this paper we propose an index key compression scheme based on the notion of distinction bits by proving that the distinction bits of index keys are sufficient information to determine the sorted order of the index keys correctly. While the actual
Externí odkaz:
http://arxiv.org/abs/2009.11543
We propose spatial semantic embedding network (SSEN), a simple, yet efficient algorithm for 3D instance segmentation using deep metric learning. The raw 3D reconstruction of an indoor environment suffers from occlusions, noise, and is produced withou
Externí odkaz:
http://arxiv.org/abs/2007.03169
Autor:
Bui, Tien-Cuong, Kim, Joonyoung, Kang, Taewoo, Lee, Donghyeon, Choi, Junyoung, Yang, Insoon, Jung, Kyomin, Cha, Sang Kyun
With the increase of global economic activities and high energy demand, many countries have raised concerns about air pollution. However, air quality prediction is a challenging issue due to the complex interaction of many factors. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2003.02632