Tech Xplore on MSN8 天
Transforming how AI systems perceive human hands
Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer ...
GitHub3 天
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
The proposed kernel is applied to graph neural networks without edge-dependent filter generation ... @article{lei2020spherical, title={Spherical Kernel for Efficient Graph Convolution on 3D Point ...
C&EN11 天
A Graph Neural Network-Based Approach to XANES Data Analysis
Institute of high energy physics, Chinese academy of sciences, Beijing 100049, China University of Chinese Academy of Sciences, Beijing 100049, China ...
AUS&R5 天
Researchers Improve AI 3D Hand Reconstruction
Researchers at Carnegie Mellon University’s Robotics Institute have unveiled Hamba, a pioneering model designed to tackle one ...
GitHub15 天
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Abstract: Graph Neural Networks (GNNs) have been widely applied to various fields for learning over graph-structured data. They have shown significant improvements over traditional heuristic methods ...
IEEE23 天
TCR-pMHC Binding Specificity Prediction from Structure Using Graph Neural Networks
We present STAG, a novel graph-based machine learning architecture for predicting TCR-pMHC binding specificity using 3D structure data. We show that STAG achieves comparable or better performance than ...
IEEE25 天
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion
Abstract: Graph Neural Networks (GNNs) have been proven to be useful for learning graph-based knowledge. However, one of the drawbacks of GNN techniques is that they may get stuck in the problem of ...
istockphoto13 天
Neural Axon stock videos and footage
Red. Loopable. Fly across a neuron's network, electric impulses passes by them. Loopable. Full HD. neural axon stock videos & royalty-free footage Biology nerve cell with biomedicine concept, 3d ...