CfP: 3rd Workshop on Search, Exploration, and Analysis in Graphs (SEAGraph), held in conjunction with ICDE2024

CALL FOR PAPERS - Updated Deadlines
3rd Workshop on Search, Exploration, and Analysis in Graphs (SEAGraph),
held in conjunction with the 40th International Conference
on Data Engineering (ICDE 2024)

WEBSITE: https://sea-data.ml

SUBMISSION WEBSITE:
https://easychair.org/my/conference?conf=seagraph2024

IMPORTANT DATES (all deadlines are AoE): 
Due to the shift of dates to the ICDE Main Conference submission dates,
we decided to shift our dates as well to accomodate
authors needs.
- Submission: December 22, 2023
- Author notification: February 1, 2024
- Camera-ready: February 15, 2024
- Workshop: May 13, 2024


OVERVIEW
SEAGraph workshop will provide a forum for researchers and practitioners
to exchange ideas, results, and visions on challenges in
adopting graphs to handle data management, information extraction,
exploration, and analysis of heterogeneous data and multiple
data models at once.

SEAGraph aims at gathering researchers and practitioners from various
communities related to databases, data management, and
knowledge engineering.
We gladly accept submissions that present initial ideas and visions,
just as much as reports on early results, or reflections on
completed projects.
The workshop will focus on discussion and interaction, rather than
static presentations of what is in the paper.


SUBMISSIONS
-  Regular research, system papers (up to 6 pages)
-  Experiments and Analysis papers (up to 6 pages)
-  Vision & work-in-progress & experiences papers (up to 4 pages)

Papers must follow the ICDE Proceeding Format


TOPIC OF INTEREST
Topics of interest include but are not limited to:

- Fundamentals
  - Algebra and logics for graph databases
    - Graph query languages, algebra, and logics
  - Querying and analyzing semantic data lakes and polystores;
    - Comparison of graph data models to traditional data models
  - Schemas for graph databases
  - Semantic web graph data formats (e.g., RDF, OWL)
- Graph mining and learning
  - Mining and profiling of graphs
    - Information retrieval on graph-structured data
    - Data explorations on graphs. 
    - Graph pattern matching
    - Link prediction, clustering, node and graph classification
    - Automatic learning of graph embeddings or indexes
    - Extraction of vectors, matrices, and metapaths from graphs (e.g.,
as input for neural networks)
    - Graph data quality assessment
- Graph data management
    - Search in graph databases
    - Flexible query answering on graph-structured data
    - Intelligent distribution of query processing   
    - Indexing methods for graph processing
    - Storage systems for large-scale graph databases
    - Automatic distribution and replication of graph databases
    - Scalable algorithms for graph management
- Applications
  - Biological and medical graph databases
    - Social Networks graphs
    - Visualizing, browsing and navigating graph data


We also welcome submissions on thought-provoking applications and
emerging uses of data management technology in heterogeneous
datastores or multi-model databases.
The workshop also welcomes papers on negative results.


WORKSHOP CHAIRS

Lisa Ehrlinger, Software Competence Center Hagenberg 
Matteo Lissandrini, Aalborg University
Davide Mottin, Aarhus University
Sayan Ranu, IIT Delhi


CONFERENCE OFFICERS

Yael Amsterdamer, Bar-Ilan University
Akhil Arora, EPFL
Bogdan Arsintescu, LinkedIn
Kaustubh Beedkar, IIT Delhi
Nikos Bikakis, University of Ioannina
Petko Bogdanov, SUNY, Albany
Angela Bonifati, Univ. of Lille 1 and Inria
Juan A. Colmenares, Linkedin
Daniele Dell'Aglio, Aalborg University
Anastasia Dimou, KU Leuven
Stefania Dumbrava, ENSIIE & Institut Polytechnique de Paris
Sainyam Galhotra, Cornell University
Francesco Guerra, University of Modena and Reggio Emilia
Francesco Gullo, Unicredit Research
Olaf Hartig, Linköping University
Katja Hose, TU Wien
Dimitar Hristovski, University of Ljubljana
Zoi Kaoudi, IT University, Copenhagen
Panos Karras, Aarhus UniversitEliezer Levy, Huawei
Sebastian Link, University of Auckland
Cheng Long, NTU
Wim Martens, University of Bayreuth
Sourav Medya, UIC
Amine Mehdhbi, Polytechnique Montreal
Paolo Papotti, EURECOM
Giulia Preti, Cent.AI
Anisa Rula, University of Brescia
Subhadeep Sarkar, Brandeis University
Yuya Sasaki, Osaka University
Petra Selmer, Bloomberg L.P.
Riccardo Tommasini, INSA Lyon
Aikaterini Tzompanaki, University of Cergy-Pontoise
Jim Webber, Neo4j