GRAND 2025 : Graph Reasoning and AI for Network Discovery Workshop

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CALL FOR PAPERS
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The Third International Workshop on Graph Reasoning and AI for Network Discovery Workshop (GRAND-2025)
Date: September 8, 2025
Location: San Diego, CA
URL: https://sites.google.com/view/grand2025/home
GRAND will be co-hosted with the 54th International Conference on Parallel Processing (ICPP 2025), September 8, 2025.
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IMPORTANT DATES
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Full Paper Submission Deadline: June 17, 2025
Author Notification: July 10, 2025
Camera-Ready Copy: July 31, 2025
Workshop: September 8, 2025
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TOPICS OF INTEREST & PAPER SUBMISSION INFORMATION
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GRAND 2025 will focus on R&D efforts in Graphs, AI for network discovery, algorithms, graph machine learning, software frameworks, and applications.
Topics of interest include, but are not limited to:
Novel solutions for accelerating graph learning-based methods using methodologies such as neural graph networks and knowledge graphs
Frameworks for developing dynamic graph algorithms
Hardware platforms specialized for addressing large, dynamic, and multi-attributed graphs
Problem domains and applications of dynamic graphs
Scalable Graph Learning Models and Methods
Graph ML Platforms and Systems
Dynamic Graph Neural Network
Self-supervised learning on graphs
Graph Generative Models
Graph in HPC
Graph Convolutional Networks (GCN)
Graph Neural Networks (GNN)
AI-based graph methodologies
Both regular papers and short position papers describing work-in-progress with innovative ideas related to the workshop topics are being solicited. The selected papers will be published in the ICPP conference proceedings; more details about the proceedings will be shared soon.
Submission website: https://ssl.linklings.net/conferences/icpp/?page=Submit&id=GRANDGraphReasoningandAIforNetworkDiscoveryWorkshopSubmission&site=icpp2025
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Organizing Committee
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Boyana Norris, University of Oregon
Sanjukta Bhowmick, University of North Texas
Sajal Das, Missouri S&T
Arindam Khanda, Missouri S&T
Sriram Srinivasan
For additional queries, email: Arindam Khanda [email protected] and Sriram Srinivasan [email protected]
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