Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Duong Chi Thang"'
Autor:
Duong, Chi Thang, David, Dimitri Percia, Dolamic, Ljiljana, Mermoud, Alain, Lenders, Vincent, Aberer, Karl
Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffectiv
Externí odkaz:
http://arxiv.org/abs/2112.04810
Graph neural network (GNN) is a deep model for graph representation learning. One advantage of graph neural network is its ability to incorporate node features into the learning process. However, this prevents graph neural network from being applied
Externí odkaz:
http://arxiv.org/abs/1911.08795
Autor:
Duong, Chi Thang, Yin, Hongzhi, Hoang, Thanh Dat, Ba, Truong Giang Le, Weidlich, Matthias, Nguyen, Quoc Viet Hung, Aberer, Karl
Graph embedding aims at learning a vector-based representation of vertices that incorporates the structure of the graph. This representation then enables inference of graph properties. Existing graph embedding techniques, however, do not scale well t
Externí odkaz:
http://arxiv.org/abs/1909.02977
Autor:
Duong, Chi Thang, David, Dimitri Perica, Dolamic, Ljiljana, Mermoud, Alain, Lenders, Vincent, Aberer, Karl
Publikováno v:
In World Patent Information June 2023 73
Autor:
Duong, Chi Thang, Nguyen, Thanh Tam, Hoang, Trung-Dung, Yin, Hongzhi, Weidlich, Matthias, Nguyen, Quoc Viet Hung
Publikováno v:
In Pattern Recognition February 2023 134
Classification of social media data is an important approach in understanding user behavior on the Web. Although information on social media can be of different modalities such as texts, images, audio or videos, traditional approaches in classificati
Externí odkaz:
http://arxiv.org/abs/1708.02099
Akademický článek
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Akademický článek
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Publikováno v:
Proceedings of the IEEE European Symposium on Security and Privacy (EuroS&P)
IoT devices are increasingly present, both in the industry and in consumer markets, but their security remains weak, which leads to an unprecedented number of attacks against them. In order to reduce the attack surface, one approach is to analyze the
Autor:
Duong, Chi Thang
Information retrieval (IR) systems such as search engines are important for people to find what they need among the tremendous amount of data available in their organization or on the Internet. These IR systems enable users to search in a large data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c0aad2133f836d433896a35882f244