Workshop · Co-located with HAXD 2027

Graph AI and Human-Centered Intelligence

Name: GAI-HCI 2027 — Graph AI and Human-Centered Intelligence
Start: 2027-06-14
End: 2027-06-16
Location: Naples, Italy

From Network Analysis to Intelligent Agents (GAI-HCI 2027)

Naples, Italy · June 14-16, 2027

Submit a Paper Topics of Interest

Graph AI & Networks Hybrid · In-person & Online Interdisciplinary Co-located with HAXD 2027

About the Workshop

The workshop “Graph AI and Human-Centered Intelligence: From Network Analysis to Intelligent Agents (GAI-HCI 2027)”, co-located with the 3rd International Conference on Human–AI Interaction and Experience Design (HAXD 2027), brings together researchers, practitioners, and industry experts working on Graph AI, network science, human-centered AI, and intelligent agents to discuss emerging theories, methodologies, and real-world applications.

Graphs provide a powerful framework for modeling complex relationships in domains such as healthcare, social networks, cybersecurity, finance, transportation, and intelligent systems. Recent advances in Graph Neural Networks (GNNs), graph transformers, knowledge graphs, and agentic AI have enabled intelligent systems to reason over structured data while supporting more transparent, explainable, and human-centered decision making.

We particularly encourage interdisciplinary contributions that bridge theoretical foundations with real-world applications in healthcare, biomedical sciences, social networks, cybersecurity, recommender systems, and other graph-centric domains. The workshop welcomes original research papers, novel methodologies, practical applications, benchmark datasets, and industrial case studies.

Topics of Interest

Submissions are invited on topics including, but not limited to:

Graph Artificial Intelligence (Graph AI)

Graph Neural Networks (GNNs) for real-world problems

Graph Transformers

Human-Centered AI and Human-AI Collaboration

Agentic AI and Intelligent Multi-Agent Systems

Explainable and Trustworthy Graph AI

Social Network Analysis and Network Science

Network Representation Learning

Novel Network Centrality Measures and Graph Analytics

Knowledge Graphs and Semantic Networks

Large Language Models for Graph Reasoning

AI for Healthcare Networks and Clinical Decision Support

Disease Networks and Protein–Protein Interaction Networks

Dynamic, Temporal, and Heterogeneous Graphs

AI Ethics, Fairness, and Responsible Graph Intelligence

Graph-Based Applications: Healthcare, Finance, Cybersecurity, Smart Cities, Education

Graph Foundation Models

Graph Reasoning and Decision Intelligence

Fuzzy Logic and Neuro-Fuzzy Systems for Human-Centered AI

Submission

We welcome original research papers, novel methodologies, practical applications, benchmark datasets, and industrial case studies that advance Graph AI and Human-Centered Intelligence.

Submission Types

Research Papers

up to 8 pages

Novel methods, systems, or frameworks with rigorous evaluation and significant contributions.

Short Papers

4-6 pages

Promising early results, position papers, negative results with analysis, or replication studies.

Demo Papers / Artifacts

4-6 pages

Live demonstrations of working tools, prototypes, or interactive graph-AI systems, plus reproducible code, datasets, or benchmarks accompanying a contribution.

Poster Papers

1-2 pages

Concise summaries of ongoing work, preliminary findings, or position statements.

Format Requirements

All papers must be submitted in PDF format using the A4 IEEE manuscript templates for conference proceedings. Manuscripts must include relevant keywords. Failure to follow the formatting guidelines may result in the paper being excluded from the proceedings.

File Type

PDF format only

Template

A4 IEEE Conference

Keywords

Required in manuscript

Review

Single-blind peer review

Language

English (US or UK, consistent)

Author List

Final after submission deadline