Managing and Mining Graph Data Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as grap... CC Aggarwal,H Wang - Springer US 被引量: 708发表: 2010年 Mining graph data Managing and Mining Graph ...
[2] Perozzi, B., Al-Rfou, R., & Skiena, S. (2014, August).Deepwalk: Online learning of social representations. InProceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining(pp. 701-710). ACM. [3]word2vec模型:Mikolov等人在2013年同时提出了CBOW(Contin...
Y. Low, J. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, and J. M. Hellerstein (2012).Distributed GraphLab: A Framework for Machine Learning and Data Mining in the CloudPVLDB J. Gonzalez, Y. Low, H. Gu, D. Bickson, and C. Guestrin (October, 2012).PowerGraph: Distributed Grap...
His research interests include machine learning systems, data mining, and information retrieval. Liang Wang received both the B.S. and M.S. degrees from Anhui University in 1997 and 2000, respectively, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences (CASIA)...
graph miningnetwork motifprotein-protein interaction networkRecent works in network analysis have revealed the existence of network motifs in biological networks ... J Chen,W Hsu,ML Lee,... - Twelfth Acm Sigkdd International Conference on Knowledge Discovery & Data Mining 被引量: 170发表: 2006年...
2020. Disentangled Self-Supervision in Sequential Recommenders. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 483–491. ^abcXiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In ...
ABSTRACT Existing data mining algorithms on graphs look for nodes satisfying specific properties, such as specific notions of structural similarity or specific measures of link-based importance. While such analyses for predetermined properties can be effective in well-understood domains, sometimes identifying...
GraphAr (short for "Graph Archive") is a project that aims to make it easier for diverse applications and systems (in-memory and out-of-core storages, databases, graph computing systems, and interactive graph query frameworks) to build and access graph data conveniently and efficiently. ...
6 Graph Layout and High-dimensional Data Visualization Visualizing Data using t-SNE Laurens van der Maaten, Geoffrey Hinton JMLR 2008 Visualizing non-metric similarities in multiple maps Laurens van der Maaten, Geoffrey Hinton ML 2012 Visualizing Large-scale and High-dimensional Data Jian Tang, Ji...
An important application of graph partitioning is data clustering using a graph model - the pairwise similarities between all data objects form a weighted graph adjacency matrix that contains all necessary information for clustering. In this paper, we propose a new algorithm for graph partitioning wit...