HeteroNAM 2018 - International Workshop on Heterogeneous Networks Analysis and Mining

This workshop is a forum for exchanging ideas and methods for heterogeneous networks analysis and mining, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in this area. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for heterogeneous networks analysis and mining.
To reflect the broad scope of work on heterogeneous networks analysis and mining, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies is various domains. The need for analysis and learning methods that go beyond mining simple graphs is emerging in many disciplines and are referred to with different names depending on the type of data augmenting the simple graph.
General topics of interest include, but are not limited to:
Heterogeneous Information Networks
Multi-Relational Networks
Signed Networks
Attributed Networks
Aligned Networks
Multigraphs
Multidimensional Networks
Multilayer Networks
Complex Networks
Multimodal Networks
Heterogenous networks are becoming the key component in many emerging applications and data-mining and graph-mining related tasks. Some of the related research areas and tasks related to heterogeneous networks include:
Link and relationship strength prediction
Clustering and community detection and formation modeling
Learning to rank in information networks
Similarity measures and relationship extraction
Applications to modeling of weblogs, social media, social networks, medical networks, and the semantic web
Statistical relational learning
Tensor factorization
Network-based classification
Hybrid recommender systems
Information fusion
Network evolution and dynamic networks
All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to:
Novel research papers
Demo papers
Work-in-progress papers
Visionary papers (white papers)
Appraisal papers of existing methods and tools (e.g., lessons learned)
Relevant work that has been previously published
Work that will be presented at the main conference of WSDM
Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions.
Submissions must be in PDF, no more than 8 pages long — shorter papers are welcome — and formatted according to the standard double-column ACM Proceedings Style.
The accepted papers will be published on the workshop’s website and will not be considered archival for resubmission purposes.
Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set may also be chosen for oral presentation.
Timeline:
Paper Submission Deadline: Nov 20, 2017
Author Notification: Dec 14, 2017
Final Version: Jan 1, 2018
Workshop: Feb 9, 2018
Submission Instructions:
http://www.heteronam.org/2018
Please send enquiries to chair-AT-heteronam.org
We look forward to your participation!
Organizers:
Shobeir Fakhraei (USC Information Sciences Institute)
Yanen Li (Snap Inc.)
Yizhou Sun (University of California Los angeles)
Tim Weninger (University of Notre Dame)
To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list
or follow the twitter account: https://twitter.com/heteronam
Please find a printable version of the CFP here: http://www.heteronam.org/2018/HeteroNAM18_CFP1.pdf