Dear colleague,

We're organizing a Special Session at DSAA 2023 in Graph Data Science and Applications. Please find the Call for Papers below:

GraDSci 2023: Graph Data Science and Applications Special Session at DSAA 2023

10th IEEE International Conference on Data Science and Advanced Analytics (DSAA) (https://conferences.sigappfr.org/dsaa2023/)
 
Location: Thessaloniki, Greece
Date: October 9-13, 2023
Website: https://gradsci.github.io/
 
About the Special Session

GraDSci: Graph Data Science and Applications is a Special Session of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA). The special session aims to bring together researchers from academia and industry who are interested in state-of-the-art algorithmic techniques and methodologies in graph data science, ranging from graph mining to graph representation learning, along with their applications.

We live in an interconnected world where entities interact with each other creating complex systems that can be modeled by graphs. Social networks, for example, are used to model interactions among individuals in collaboration networks and online social media applications. Information networks, such as the Web or knowledge graphs, provide an effective way to model and navigate relational content. In the biomedical domain, complex heterogeneous graphs are used to describe the interactions between patients, diseases, and drugs, toward detecting polypharmacy side effects or addressing drug repurposing problems. Finally, molecular graphs, which capture the interactions between atoms or molecules, have recently been used to discover new materials, accelerating scientific discovery.

The topics of interest of the GraDSci special session include, but are not limited to:

– Representation learning on graphs
– Deep learning and graph neural networks
– Scalable graph learning models and methods
– Bias and fairness in graph machine learning
– Probabilistic graphical models
– Statistical models of graphs
– Graph kernels and graph similarity
– Semi-supervised, self-supervised, and unsupervised graph learning
– Graph sampling and inference
– Graph clustering and community detection
– Graph summarization
– Graph anomaly detection
– Learning on spatial, temporal, and dynamic networks
– Learning on heterogeneous and multi-relational graphs
– Graph data processing and management
– Graph visualization

– Social media and social network analysis
– Influence propagation and misinformation detection
– Knowledge graphs and semantic networks
– Recommender systems
– Natural language processing
– Multimedia signal processing and computer vision
– Computational health, biomedicine, and epidemiology
– Computational biology and bioinformatics
– Neuroscience and brain network analysis
– Drug design and pharmaceutical sciences
– Materials science
– Urban network analysis
– Environment
– Communication networks and cybersecurity

– Special Session Paper Submission Deadline: May 2, 2023
– Special Session Paper Notification: July 10, 2023
– Camera Ready Submission: August 7, 2023

Please look at: https://gradsci.github.io/submission/

– Fragkiskos D. Malliaros, Paris-Saclay University, CentraleSupelec, Inria, France
– Jhony H. Giraldo, Telecom Paris, Institut Polytechnique de Paris, France