Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

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 ...