MA3b.2

Task-driven Heterophilic Graph Structure Learning

Ayushman Raghuvanshi, Indian Institute of Science, India; Gonzalo Mateos, University of Rochester, United States; Sundeep Chepuri, Indian Institute of Science, India
Session:
MA3b: Advances in Topological Signal Processing Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Mon, 27 Oct, 10:40 - 11:05 PT (UTC -8)
Session Chair:
Geert Leus, TU Delft
Presentation
Discussion
Resources
No resources available.
Session MA3b
MA3b.1: Colored Markov Random Fields for Probabilistic Topological Modeling
Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy
MA3b.2: Task-driven Heterophilic Graph Structure Learning
Ayushman Raghuvanshi, Indian Institute of Science, India; Gonzalo Mateos, University of Rochester, United States; Sundeep Chepuri, Indian Institute of Science, India
MA3b.3: Change Point Detection, Localization, and Imputation of Topological Signals
Rohan Money, Baltasar Beferull-Lozano, Simula Metropolitan Centre for Digital Engineering, Norway; Elvin Isufi, Delft University of Technology (TU Delft), Netherlands
MA3b.4: Directed Acyclic Hypergraphs: Topology Identification from Nodal Data
Ruben Wijnands, Delft University of Technology, Netherlands; Antonio G. Marques, King Juan Carlos University, Spain; Elvin Isufi, Geert Leus, Delft University of Technology, Netherlands
Contacts