"Multi-behavior Recommendation with Two-Level Graph Attentional Networks"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Multi-level issues in organizational behavior and leadership	Francis J. Yammarino	2009	Emerald Group Publishing
Multi-level issues in organizational behavior and strategy	Fred Dansereau	2003	JAI
Multi-level issues in organizational behavior and processes /	Yammarino, Francis J.,; Dansereau, Fred,	2004.	JAI,
175 home plans: multi-level & two story: designs	William G. Chirgotis	1979	Creative Homeowners Press
Multi-Camera Networks	Hamid Aghajan and Andrea Cavallaro	2009	Academic Press
Recommendation and Search in Social Networks	Özgür Ulusoy; Abdullah Uz Tansel; Erol Arkun	2015	Springer International Publishing
Multi-level Governance	Ian Bache; Matthew Flinders	2004	Oxford University Press
Multi-Level Marketing	Peter Clothier	December 1992	Kogan Page
Graph Spectra for Complex Networks	Piet van Mieghem	2010-12	Cambridge University Press
Graph Theory and Interconnection Networks	Lih-Hsing Hsu; Cheng-Kuan Lin	2008	Routledge
Introduction to Graph Neural Networks	Zhiyuan Liu; Jie Zhou		Springer International Publishing
Introduction to Graph Neural Networks	Zhiyuan Liu, Jie Zhou	2020	Morgan & Claypool
Multi-Level Capacitated Lotsizing with Setup Carryover	Lisbeth Buschkühl	1st ed. 2008	Springer Fachmedien Wiesbaden
Multi-Level Issues in Strategy and Methods (Research in Multi-Level Issues) (Research in Multi-Level Issues)	Fred Dansereau; Francis Yammarino	2005	JAI Press Incorporated
Complex-Valued Neural Networks with Multi-Valued Neurons	Igor Aizenberg	2011	Springer Berlin Heidelberg
Modeling Multi-Level Systems	Octavian Iordache (auth.)	2011	Springer-Verlag Berlin Heidelberg
Multi-Level Home Plans	House Garling	June 1989	Garlinghouse Co
Power Multi-Level Marketing	Mark Yarnell	June 1993	Quantum Leap
Modeling Multi-Level Systems	Octavian Iordache	2011	Springer Berlin Heidelberg
Graph Theoretic Methods in Multiagent Networks	Mehran Mesbahi; Magnus Egerstedt	2010	Princeton University Press
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Multi-behavior Recommendation with Two-Level Graph Attentional Networks	Yunhe Wei; Huifang Ma; Yike Wang; Zhixin Li; Liang Chang	Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II	Arnab Bhattacharya; Janice Lee Mong Li; Divyakant Agrawal; P. Krishna Reddy; Mukesh Mohania; Anirban Mondal; Vikram Goyal; Rage Uday Kiran	1st ed. 2022	Springer International Publishing
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation	Yuan Yuan; Yan Tang; Luomin Du; Yingpei Chen	Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I	Gerard Memmi; Baijian Yang; Linghe Kong; Tianwei Zhang; Meikang Qiu	1st ed. 2022	Springer International Publishing
Two-level graph grammars	Wolfgang Hesse	Graph-Grammars and Their Application to Computer Science and Biology: International Workshop, Bad Honnef, October 30 - November 3, 1978	V. Claus; H. Ehrig; G. Rozenberg	1979	Springer Berlin Heidelberg
Two-Level Multi-Level Modeling	Ding-Geng (Din) Chen; Jenny K. Chen	Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling	Ding-Geng (Din) Chen; Jenny K. Chen	1st ed. 2021	Springer International Publishing
Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks	Xinzhou Dong; Beihong Jin; Wei Zhuo; Beibei Li; Taofeng Xue	Database Systems for Advanced Applications: 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III	Christian S. Jensen; Ee-Peng Lim; De-Nian Yang; Wang-Chien Lee; Vincent S. Tseng; Vana Kalogeraki; Jen-Wei Huang; Chih-Ya Shen	1st ed. 2021	Springer International Publishing
Recommendation with Heterogeneous Information Networks Based on Meta-Graph	Ding Zichen; Bin Sheng; Sun Gengxin	Artificial Intelligence and Security: 5th International Conference, ICAIS 2019, New York, NY, USA, July 26-28, 2019, Proceedings, Part II	Xingming Sun; Zhaoqing Pan; Elisa Bertino	1st ed. 2019	Springer International Publishing
Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks	Xinzhou Dong; Beihong Jin; Wei Zhuo; Beibei Li; Taofeng Xue	Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part II	Kamal Karlapalem; Hong Cheng; Naren Ramakrishnan; R. K. Agrawal; P. Krishna Reddy; Jaideep Srivastava; Tanmoy Chakraborty	1st ed. 2021	Springer International Publishing
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation	Ruixin Ma; Guangyue Lv; Liang Zhao; Yunlong Ma; Hongyan Zhang; Xiaobin Liu	Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I	Gerard Memmi; Baijian Yang; Linghe Kong; Tianwei Zhang; Meikang Qiu	1st ed. 2022	Springer International Publishing
Multi-view Multi-behavior Contrastive Learning in Recommendation	Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao; Xin Chen; Xu Zhang et al.	Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II	Arnab Bhattacharya; Janice Lee Mong Li; Divyakant Agrawal; P. Krishna Reddy; Mukesh Mohania; Anirban Mondal; Vikram Goyal; Rage Uday Kiran	1st ed. 2022	Springer International Publishing
Personalized Recommendation on Multi-Layer Context Graph	Weilong Yao; Jing He; Guangyan Huang; Jie Cao; Yanchun Zhang	Web Information Systems Engineering -- WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part I	Xuemin Lin; Yannis Manolopoulos; Divesh Srivastava; Guangyan Huang	2013	Springer Berlin Heidelberg
Optimized Graph Search Using Multi-Level Graph Clustering	Rahul Kala; Anupam Shukla; Ritu Tiwari	Contemporary Computing: Second International Conference, IC3 2009, Noida, India, August 17-19, 2009. Proceedings	Sanjay Ranka; Srinivas Aluru; Rajkumar Buyya; Yeh-Ching Chung; Sandeep Gupta; Ananth Grama; Rajeev Kumar; Vir V. Phoha; Sumeet Dua	2009	Springer Berlin Heidelberg
Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation	Shenghao Liu; Bang Wang; Bin Liu; Laurence T. Yang	Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III	João Gama; Tianrui Li; Yang Yu; Enhong Chen; Yu Zheng; Fei Teng	1st ed. 2022	Springer International Publishing
GCNNIRec: Graph Convolutional Networks with Neighbor Complex Interactions for Recommendation	Teng Mei; Tianhao Sun; Renqin Chen; Mingliang Zhou; Leong Hou U	Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23–25, 2021, Proceedings, Part II	Leong Hou U; Marc Spaniol; Yasushi Sakurai; Junying Chen	1st ed. 2021	Springer International Publishing
PART V: MULTI-LEVEL NETWORKS	Eve Mitleton-Kelly; Alexandros Paraskevas; Christopher Day	Handbook of Research Methods in Complexity Science: Theory and Applications	Eve Mitleton-Kelly; Alexandros Paraskevas; Christopher Day	2018	Edward Elgar Publishing
Multi-level Dense Capsule Networks	Sai Samarth R. Phaye; Apoorva Sikka; Abhinav Dhall; Deepti R. Bathula	Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V	C.V. Jawahar; Hongdong Li; Greg Mori; Konrad Schindler	1st ed. 2019	Springer International Publishing
Multi-objective Optimization for Multi-level Networks	Brandon Oselio; Alex Kulesza; Alfred Hero	Social Computing, Behavioral-Cultural Modeling and Prediction: 7th International Conference, SBP 2014, Washington, DC, USA, April 1-4, 2014. Proceedings	William G. Kennedy; Nitin Agarwal; Shanchieh Jay Yang	2014	Springer International Publishing
A Multi Source Graph-Based Hybrid Recommendation Algorithm	Zühal Kurt; Ömer Nezih Gerek; Alper Bilge; Kemal Özkan	Trends in Data Engineering Methods for Intelligent Systems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)	Jude Hemanth; Tuncay Yigit; Bogdan Patrut; Anastassia Angelopoulou	1st ed. 2021	Springer International Publishing
Multi-modal Behavioral Information-Aware Recommendation with Recurrent Neural Networks	Guoyong Cai; Nannan Chen; Weidong Gu; Jiao Pan	Security with Intelligent Computing and Big-data Services: Proceedings of the Second International Conference on Security with Intelligent Computing and Big Data Services (SICBS-2018)	Ching-Nung Yang; Sheng-Lung Peng; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Effective Knowledge-Aware Recommendation via Graph Convolutional Networks	Bo Zhao; Zhuoming Xu; Yan Tang; Jian Li; Bei Liu; Haimei Tian	Web Information Systems and Applications: 17th International Conference, WISA 2020, Guangzhou, China, September 23–25, 2020, Proceedings	Guojun Wang; Xuemin Lin; James Hendler; Wei Song; Zhuoming Xu; Genggeng Liu	1st ed. 2020	Springer International Publishing
Fully Utilizing Neighbors for Session-Based Recommendation with Graph Neural Networks	Xingyu Zhang; Chaofeng Sha	Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022, Virtual Event, April 11–14, 2022, Proceedings, Part II	Arnab Bhattacharya; Janice Lee Mong Li; Divyakant Agrawal; P. Krishna Reddy; Mukesh Mohania; Anirban Mondal; Vikram Goyal; Rage Uday Kiran	1st ed. 2022	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Multi-behavior Recommendation with Two-Level Graph Attentional Networks" - similar Books and Chapters