MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
GitHub

DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform

DeepGFT requires python version >= 3.7. We tested it in python 3.8.16 and cuda 11.6.1 on Linux. pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio ...
IEEE

Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process

Abstract: Graph neural networks (GNNs) are good at capturing the intricate topologies and dependencies among components and are outstanding in fault diagnosis tasks of complex industrial process. Bias ...
IEEE

EwLoss: A Exponential Weighted Loss Function for Knowledge Graph Embedding Models

Abstract: Knowledge graphs have been widely used in various domains such as intelligent question answering, information retrieval, transportation, medicine, e-commerce, and others, and have achieved ...