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GRAPH EQUATIONS FOR LINE GRAPHS, TOTAL GRAPHS AND MIDDLE GRAPHS

open access: yesGRAPH EQUATIONS FOR LINE GRAPHS, TOTAL GRAPHS AND MIDDLE GRAPHS
openaire  

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Graph 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

Graph Attention Networks

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
semanticscholar   +1 more source

Modeling Relational Data with Graph Convolutional Networks

Extended Semantic Web Conference, 2017
Knowledge 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
semanticscholar   +1 more source

The blict graph and blitact graph of a graph

Journal of Discrete Mathematical Sciences and Cryptography, 2001
Abstract 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
openaire   +1 more source

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