TA8b2: Learning over Graphs and Networks
Tue, 28 Oct, 10:15 - 11:55 PT (UTC -7)
Location: Merrill Hall
Session Type: Poster
Track: Networks and Graphs

TA8b2.1: Sampling of Finite Time-Vertex Graph Signals with Successive Local Aggregations
Hang Sheng, Lin Jin, Hui Feng, Bo Hu, Fudan University, China

TA8b2.2: Graph Contrastive Learning for Connectome Classification
Martín Schmidt, Sara Silva, Federico Larroca, Facultad de Ingeniería, Universidad de la República, Uruguay; Gonzalo Mateos, University of Rochester, United States; Pablo Musé, Facultad de Ingeniería, Universidad de la República, Uruguay

TA8b2.3: Higher-Order Monte Carlo Cluster Dynamics for Community Detection in Euclidean Graphs
Louis Hauseux, Nahuel Soprano-Loto, Konstantin Avrachenkov, Inria, France

TA8b2.4: Induced Spatial-Topology-Aware Load Prediction in Wi-Fi Networks via Graph Neural Networks
Dariush Salami, Luca Barbieri, Lorenzo Galati Giordano, Nokia Bell Labs, Finland

TA8b2.5: Finding the Distribution of Age of Information for Multi-Channel Age-Dependent Status Update Policies
Nail Akar, Bilkent University, Turkey; Ismail Cosandal, Sennur Ulukus, University of Maryland, United States

TA8b2.6: Wireless Link Scheduling with State-Augmented Graph Neural Networks
Romina Garcia Camargo, Zhiyang Wang, University of Pennsylvania, United States; Navid NaderiAlizadeh, Duke University, United States; Alejandro Ribeiro, University of Pennsylvania, United States

TA8b2.7: Graph Neural Network Guided Search for Power Grid Topology Correction
Pranav Kulkarni, California Institute of Technology, United States; Alan O'Connor, Frank Yaul, Analog Devices, Inc., United States

TA8b2.8: Bilevel Graphical Lasso: A Nonsmooth BLO Approach to Learn Graphs from Data
Fernando Real-Rojas, Samuel Rey, Antonio G. Marques, King Juan Carlos University, Spain

TA8b2.9: Causal Analysis of Graph Signals for Brain Effectome Inference
Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, Madhav V. Marathe, University of Virginia, United States

TA8b2.10: Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Graphs via Sampling
Hamed Ajorlou, Gonzalo Mateos, University of Rochester, United States; Luana Ruiz, Johns Hopkins University, United States

TA8b2.11: Extremum-Based Joint Compression and Detection for Distributed Sensing
Amir Weiss, Bar-Ilan University, Israel; Alejandro Lancho, Universidad Carlos III de Madrid and Gregorio Marañón Health Research Institute, Spain