The idea is as old as time, at least since Lagash ... Of course, it didn’t work, as the pain had gone global. By 1932 unemployment had skyrocketed, Wall Street was in smouldering ruins and ...

Abstract: Graph Edit Distance (GED) is a classical graph similarity metric. Since exact GED computation is NP-hard, existing GNN-based methods try to approximate GED in polynomial time. However, they ...

STANFORD, Calif. – Racing in the 10,000m at the Stanford Invitational Friday evening, Razorback Timothy Chesondin generated a time of 27 minutes, 55.10 seconds to finish eighth and produced the ...

Abstract: Typical spatiotemporal graph forecasting methods process graph-structured spatiotemporal ... transdimensional correlations among different spatial points in different time planes, i.e., time ...

In this paper, we develop a novel cell-graph based Cell-Graph Attention (CGAT ... both having relatively fewer training examples to work with. We leverage the superior performance of PDAC and CP ...

For example ... sequence as a molecular graph and identification of residue couplings with an emphasis on functional residues. Building prediction models based on coevolving residues lies beyond the ...