This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Predicting Links in Knowledge Graphs With the Canonical Correlation Analysis and Fusing Tensor Model
Abstract: Relation prediction in knowledge graphs is critical for uncovering missing links between entities. Previous models mostly focused on learning the distance of entities and relation within ...
GMatch4py is a library dedicated to graph matching. Graph structure are stored in NetworkX graph objects. GMatch4py algorithms were implemented with Cython to enhance performance.
Abstract: The detection of network threats remains a fundamental task in cyberspace defense. Graphs are capable of capturing rich structural information and retaining content information. They are ...
There may be readers who will shake their heads once they finish reading this column, while I think others will say to themselves, "I also did not know about this." ...
The most powerful and modular visual AI engine and application. ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on ...
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