SIGMA integrates SimRank for one-time global similarity aggregation in heterophilous GNNs, achieving O(n) complexity and reported 5x speedup on large graphs with SOTA accuracy.
Breaking the limit of graph neural networks by improving the assortativity of graphs with local mixing patterns,
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SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
SIGMA integrates SimRank for one-time global similarity aggregation in heterophilous GNNs, achieving O(n) complexity and reported 5x speedup on large graphs with SOTA accuracy.