Welcome to this season's Rockies games, where IEEE group rates are available to all our members, family, friends and colleagues. Join us and those you invite to one or all four group rate days for IEEE. We hope to see you at the ballpark! IEEE 2024 Group Link: (https://enotice.mmsend.com/link.cfm?r=EiKnph5zAXWKQ8OmhYzECQ~~&pe=VR9bfd1cBxu6CFQya4H8QKr9D44Dxomcgu-Ixw9u6vG3Ha-qTz6Rthd7-_M34I99wwnRvHHOAbPBiMIQ-6F7aw~~&t=k7-f_8DYAtnZV5sVbI27xQ~~) All the dates are available to sign up through September 17. MLB and TicketMaster use for electronic transactions. Thursday, June 20, 2024, 1:10 PM (Sign up today!) Ticket Price $18/seat in Upper Reserve Section U323 Invite family, friends and colleague for a day at the park! Saturday, August 10 Friday, August 16 Friday, September 27 Agenda: Show up before the game. Gather with family, friends and colleagues. Enjoy the game! Bldg: Coors Field, 2001 Blake St., Denver, Colorado, United States, 80205

We consider the intersection of networks and machine learning in two contexts. In the first,[] the data of interest for ML is in the form of a large, complex network. Here, Graph Neural Networks (GNNs) utilize message passing for neighborhood aggregation to capture graph topology, while Graph Embedding based Neural Networks (GENNs) distill essential graph information into a concise representation suitable for traditional neural architectures. The second is when the training and/or the evaluation phase of ML must be carried out over a distributed environment such as an IoT network. These environments pose challenges due to limited storage, communication and power, complicating the deployment of complex ML models and impeding real-time decision-making. Our innovations in graph-coordinate based strategies, TCNN and DVCNN, help sidestep the computational challenges faced by competing algorithms. Experimental results, benchmarked against the Open Graph Benchmark Leaderboard, demonstrate that TCNN and DVCNN require orders of magnitude fewer parameters than any neural network method currently listed in the OGBN Leaderboard for both OGBN Proteins and OGBN-Products datasets. Speaker(s): Anura, Agenda: 6:00 pm Doors Open 6:30 pm Online Broadcast starts 6:45 pm Main Presentation 8:00 End Room: C120, Bldg: Engineering, 400 Isotope Drive, Colorado State University, Fort Collins, Colorado, United States, 80521, Virtual: https://events.vtools.ieee.org/m/423298