Results 311 to 320 of about 4,550,446 (348)
A Method for the Intelligent Identification of the Operating Conditions of Deep-Sea Submersibles and Its Application. [PDF]
Zhang Y, Li Z, Tang J, He K.
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DMAGCL: A dual-masked adaptive graph contrastive learning framework for predicting circRNA-drug sensitivity. [PDF]
Wang P +6 more
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Billi: Provably Accurate and Scalable Bubble Detection in Pangenome Graphs
Bhat SG, Mahajan D, Jain C.
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GRAPH EQUATIONS FOR LINE GRAPHS, TOTAL GRAPHS AND MIDDLE GRAPHS
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood.
Xiangnan He +5 more
semanticscholar +1 more source
International Conference on Learning Representations, 2017
We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their ...
Petar Velickovic +5 more
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We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their ...
Petar Velickovic +5 more
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Modeling Relational Data with Graph Convolutional Networks
Extended Semantic Web Conference, 2017Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) remain incomplete.
M. Schlichtkrull +5 more
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The blict graph and blitact graph of a graph
Journal of Discrete Mathematical Sciences and Cryptography, 2001Abstract In this paper, we introduce the concepts of the blict graph and blitact graph of a graph. We obtain some properties of these graphs. We present characterizations of graphs whose blict graphs and blitact graphs are planar, outerplanar, maximal outerplanar and minimally nonouterplanar.
V. R. Kulli, M. S. Biradar
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