Abstract: An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal ...
One powerful way to do this is through a routine called slow reveal graphs.
Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Circular RNAs (circRNAs) possess structural stability and tissue-specific expression ...
Headshots of Bonnielin Swenor (left) and Scott Landes (right). Next week, a virtual conference co-hosted by Syracuse University will focus on how countries, programs and researchers measure disability ...
The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...
A galaxy proto-supercluster was discovered using VIMOS instrument of ESO’s Very Large Telescope. The astronomers who discovered it have nicknamed the bohemoth “Hyperion.” It has been visualized here.
Data Wrangler and Data Wrangler-formatted notebook cell output shows dtype as "string" for both "python" storage (Numpy-nullable backend) and "pyarrow" storage StringDtypes. This leads to cofusion ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback