MLSP-L9: Graph Neural Networks for Representation Learning
Oral
Wed, 6 May, 09:00 - 11:00
Location: Room 113
Session Type: Oral
Track: Machine Learning for Signal Processing [ML]
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Wed, 6 May, 09:00 - 09:20

MLSP-L9.1: MH-A3 : METROPOLIS-HASTINGS ANOMALY-AWARE AUGMENTATION FOR CONTRASTIVE GRAPH ANOMALY DETECTION
Maoji Wen, Tsinghua University, China; Chaohao Yuan, The Chinese University of Hong Kong, China; Jiacheng Hou, Ercan Engin Kuruoglu, Tsinghua University, China
Wed, 6 May, 09:20 - 09:40

MLSP-L9.2: FROM DISTORTION TO EXPRESSION: PARALLEL MULTI-HOP GRAPH SIGNAL PROCESSING UNDER HETEROPHILY
Shixiong Jing, The Pennsylvania State University, United States of America; Lingwei Chen, Rochester Institute of Technology, United States of America; Suhang Wang, Dinghao Wu, The Pennsylvania State University, United States of America
Wed, 6 May, 09:40 - 10:00

MLSP-L9.3: SGA-GNN: Semantic-Guided Adaptive Graph Neural Network for Cold-Start Multimodal Recommendation
Jialin Liu, City University of Hong Kong, Hong Kong; Zhaorui Zhang, The Hong Kong Polytechnic University, Hong Kong; Ray C. C. Cheung, City University of Hong Kong, Hong Kong
Wed, 6 May, 10:00 - 10:20

MLSP-L9.4: ENHANCED GRAPH NEURAL NETWORKS USING K-HOP GAUSSIAN DIFFUSION
Xuling Zhang, Peng Wang, Daiyan Li, Aoran Huang, Zeiwei Chen, YongKui Yang, Shenzhen Institute of Advanced Technology, China
Wed, 6 May, 10:20 - 10:40

MLSP-L9.5: WHEN MAMBA MEETS KAN: A HYBRID LEARNING NETWORK FOR ELECTRIC VEHICLE CHARGING DEMAND PREDICTION
Meilin Hao, Qianqian Ren, Heilongjiang University, China
Wed, 6 May, 10:40 - 11:00

MLSP-L9.6: PHYSICS-INFORMED GNN FOR MEDIUM-HIGH VOLTAGE AC POWER FLOW WITH EDGE-AWARE ATTENTION AND LINE SEARCH CORRECTION OPERATOR
Changhun Kim, Timon Conrad, Redwanul Karim, Julian Oelhaf, David Riebesel, Tomás Arias-Vergara, Andreas Maier, Johann Jäger, Siming Bayer, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany