To address this issue, this paper introduces a hierarchical multi-relational graph representation learning (HMGRL) approach. Within the framework of HMGRL, we leverage a wealth of drug-related ...

The jurisdiction of the members of Fly Team on FBI: International covers the protection of American citizens abroad, wherever they might find themselves in danger. Led by Supervisory Agent Wesley ...

By introducing vascular structure as a prior constraint and constructing auxiliary information, the network achieves disentangled representation learning ... Figure 1 shows examples of manual ...

"We’re pretty close to an election and the prime minister has made a call to promote three quality women and this sets as an example for ... ve now got equal representation in the cabinet.” ...

However, we observe that the aggregation of node information in multilayer graph autoencoder (GAE) is prone to deviation, especially when edges or node attributes are randomly perturbed. To this end, ...

The evolution of web search engines offers an instructive example, showing how knowledge can be extracted from unstructured sources and refined over time into a structured, interconnected graph.

Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure ...

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com ...