Designing an iterative approach based on the adjacency matrix produced from directed Euler graphs would allow us to explore a comparable Petri net. The iterative approach will assist us in determining ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

Then, we adopted an end-to-end framework to integrate graph autoencoder and inductive matrix completion, where the information from microbe and disease space are co-trained. Finally, the score matrix ...

To maximize the homogeneity of these two distinct graphs, we design an improved semi-supervised contrastive loss. In order to enrich scarce label information, we propose a self-supervised mechanism to ...

Semi-supervised node classification with Graph Convolutional Network (GCN) is an attractive topic in social media analysis and applications. Recent studies show that GCN-based classification methods ...

We claim that graph representation learning methods can appropriately extract the connectivity patterns of the brain, in such a way that the method can be generalized to every recording condition, and ...