This ETF would have tripled your money over the past 10 years -- and it's still soaring

Is its current momentum worth investors hopping on the train?

This Beloved Affordable Watchmaker Is Bringing Back a Sold-Out Favorite

The new Scalegraph is exactly the type of watch that has propelled Baltic to cult-favorite status. You get a vintage-inspired ...
IEEE

Efficient Anchor Graph Factorization for Multi-View Clustering

Abstract: Due to the excellent interpretability of non-negative matrix factorization (NMF), NMF-based multi-view clustering has attracted much attention for multi-media data analysis and processing.
C&EN

Multimodal Cross-Attention Molecular Property Prediction for Text, Sequence, Graph, and Geometry

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The disadvantage of unimodal learning is its incapacity to ...
InfoQ

Enhance LLMs’ Explainability and Trustworthiness with Knowledge Graphs

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...
GitHub

Are LLMs Really Knowledgeable for Knowledge Graph Completion?

Knowledge Graph (KG) completion aims to infer new facts from existing knowledge. While recent efforts have explored leveraging large language models (LLMs) for this task, it remains unclear whether ...
PNAS

The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling

Many biological networks are modeled with multivariate discrete dynamical systems. Current theory suggests that the network of interactions captures salient features of system dynamics, but it misses ...
Europe PMC

Predicting redox potentials by graph-based machine learning methods.

The evaluation of oxidation and reduction potentials is a pivotal task in various chemical fields. However, their accurate prediction by theoretical computations, which is a complementary task and ...
C&EN

Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques

Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, ...
Investopedia

Understanding the Law of Supply: Curve, Types, and Examples Explained

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Erika Rasure is globally-recognized as a ...