In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs), namely, ...

Our proposed framework (Figure 1) embeds protein sequences using ESM-2 and converts predicted structures into Node2Vec-encoded contact graphs. (24) These representations are processed via dual ...

Additionally, an analytical comparison between mapping the bond graph as either homogeneous or heterogeneous graph is shown. By analyzing the graph in spectral domain, the frequency component ...