Business spending on OpenAI models jumps to a record, new data shows

OpenAI leads enterprise AI adoption among US businesses, outpacing Anthropic and Google. Ramp data shows rising paid usage in ...
IEEE

Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
IEEE

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...
GitHub

TypeError: Tensor Out of Scope in TensorFlow Function Graph When Using CardBench

First, I want to express my sincere gratitude for your contribution of CardBench to the field of Cardinality Estimation—it has been incredibly helpful in my work. I'm replicating the Instance based ...
SiliconANGLE

Neo4j integrates dozens of graph analytics functions with data in Snowflake

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...