MQ-L.C2: Learning on Graphs
Mon, 17 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Mon, 17 Oct, 14:00 - 16:00 Central European Time (UTC +1)
Mon, 17 Oct, 12:00 - 14:00 UTC
Mon, 17 Oct, 08:00 - 10:00 Eastern Time (UTC -5)
Lecture
Location: Room C2
Session Chair: Aykut Koc, Bilkent University
Track: Applications of Machine Learning

MQ-L.C2.1: HYPERGRAPH CONVOLUTIONAL NETWORKS FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION
Jhony H. Giraldo, Thierry Bouwmans, La Rochelle Université, France; Vincenzo Scarrica, Antonino Staiano, Francesco Camastra, Università di Napoli Parthenope, Italy

MQ-L.C2.2: AN EFFICIENT FRAMEWORK FOR HUMAN ACTION RECOGNITION BASED ON GRAPH CONVOLUTIONAL NETWORKS
Nikolaos Kilis, Christos Papaioannidis, Ioannis Mademlis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

MQ-L.C2.3: MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN)
Inder Pal Singh, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada, University of Luxembourg, Luxembourg

MQ-L.C2.4: AUTOMATIC FUZZY GRAPH CONSTRUCTION FOR INTERPRETABLE IMAGE CLASSIFICATION
Georgia Sovatzidi, Michael Vasilakakis, Dimitris Iakovidis, University of Thessaly, Greece

MQ-L.C2.5: Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval
Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Pedronette, São Paulo State University (UNESP), Brazil