DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters

NeurIPS 2019 Asiri WijesingheQing Wang

We propose a novel spectral convolutional neural network (CNN) model on graph structured data, namely Distributed Feedback-Looped Networks (DFNets). This model is incorporated with a robust class of spectral graph filters, called feedback-looped filters, to provide better localization on vertices, while still attaining fast convergence and linear memory requirements... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Node Classification Citeseer DFNet-ATT Accuracy 74.7% # 5
Node Classification Cora DFNet-ATT Accuracy 86.0% # 3
Node Classification NELL DFNet-ATT Accuracy 68.8% # 1
Node Classification Pubmed DFNet-ATT Accuracy 85.2% # 2