Horting hatches an egg: A new graph-theoretic approach to collaborative filtering, Proc. 5th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp.201-212, 1999. ,
Modularity and community detection in bipartite networks, Nonlinear, and Soft Matter Physics, vol.76, issue.6, 2007. ,
An algebraic approach to temporal network analysis based on temporal quantities, Social Network Analysis and Mining, vol.6, issue.1, p.28, 2016. ,
Improved community detection in weighted bipartite networks, Royal Society Open Science, vol.3, issue.1, 2016. ,
A social formalism and survey for recommender systems, ACM SIGKDD Explorations, vol.16, issue.2, pp.20-37, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01568658
, Spectral networks and locally connected networks on graphs, 2013.
Timevarying graphs and dynamic networks, International Journal of Parallel, Emergent and Distributed Systems, vol.27, issue.5, pp.387-408, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00854287
Xgboost: A scalable tree boosting system, Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, pp.785-794, 2016. ,
A comprehensive survey of neighborhoodbased recommendation methods, Recommender systems handbook, pp.107-144, 2011. ,
A working guide to boosted regression trees, Journal of Animal Ecology, vol.77, issue.4, pp.802-813, 2008. ,
Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems (TOIS), vol.22, issue.1, pp.5-53, 2004. ,
Enumerating maximal cliques in temporal graphs, Advances in Social Networks Analysis and Mining (ASONAM), pp.337-344, 2016. ,
Modern temporal network theory: a colloquium. The European, Physical Journal B, vol.88, issue.9, p.234, 2015. ,
Semi-supervised classification with graph convolutional networks, 2016. ,
Collaborative filtering with temporal dynamics, Communications of the ACM, vol.53, issue.4, pp.89-97, 2010. ,
Stream graphs and link streams for the modeling of interactions over time, Social Netw. Analys. Mining, vol.8, issue.1, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01665084
A Guide to Temporal Networks, 2016. ,
Modularities for bipartite networks, Proceedings of the 20th ACM conference on Hypertext and hypermedia -HT '09, p.245, 2009. ,
Mixing patterns in networks, Physical Review E, vol.67, issue.2, p.26126, 2003. ,
Recsys challenge 2016: Job recommendations based on preselection of offers and gradient boosting, Proceedings of the Recommender Systems Challenge, RecSys Challenge '16, vol.10, 2016. ,
Higher-order aggregate networks in the analysis of temporal networks: path structures and centralities, The European Physical Journal B, vol.89, issue.3, p.61, 2016. ,
Practical bayesian optimization of machine learning algorithms, Advances in neural information processing systems, pp.2951-2959, 2012. ,
Hybrid recommender system based on autoencoders, Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp.11-16, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01336912
Social recommendation: a review, Social Network Analysis and Mining, vol.3, issue.4, pp.1113-1133, 2013. ,
Discovering patterns of interest in ip traffic using cliques in bipartite link streams, International Workshop on Complex Networks, pp.233-241, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01665089
Item recommendation on monotonic behavior chains, Proceedings of the 12th ACM Conference on Recommender Systems, pp.86-94, 2018. ,
On multiaspect graphs, Theoretical Computer Science, vol.651, pp.50-61, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01424657
Efficient inexact proximal gradient algorithm for nonconvex problems, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17, pp.3308-3314, 2017. ,
Graph convolutional neural networks for web-scale recommender systems, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp.974-983, 2018. ,
Bipartite network projection and personal recommendation, Phys. Rev. E, vol.76, issue.4, 2007. ,