AttriReBoost augments feature propagation with a partial reset of known nodes and a global-mean (virtual edge) term, achieving consistent but modest accuracy gains over FP and PCFI on eight benchmarks.
A novel representation learning for dynamic graphs based on graph convolutional networks,
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AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
AttriReBoost augments feature propagation with a partial reset of known nodes and a global-mean (virtual edge) term, achieving consistent but modest accuracy gains over FP and PCFI on eight benchmarks.