Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...
Abstract: In directed graphs, the relationship between users is asymmetric, resulting in two types of triangles: cycle triangles and flow triangles. This paper studies the problem of ...
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