Edutopia

The Power of Slow Reveal Graphs

One powerful way to do this is through a routine called slow reveal graphs.

What We Learned From the USMNT's Back 3 Experiment — And Why It Should Stick

The United States men's national team finally gave the back three formation a look. Here's what worked and didn't work with ...
The Pantagraph

Heartland's Challenger Learning Center wins innovation award

The Challenger Learning Center at Heartland Community College has been named an Arthur C. Clarke Innovation Award winner.

Coursera launches tailored learning solutions Skill Tracks

Coursera's Skill Tracks offer structured learning paths for IT, Data, and GenAI courses, closing skill gaps efficiently.
IEEE

Efficient Heterogeneous Graph Learning via Random Projection

Abstract: Heterogeneous Graph Neural Networks (HGNNs) are powerful tools for deep learning on heterogeneous graphs. Typical HGNNs require repetitive message passing during training, limiting ...
Tech Xplore

RoboBallet system enables robotic arms to work together like a well-choreographed dance

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...
IEEE

Graph Multi-Convolution and Attention Pooling for Graph Classification

Abstract: Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task.
University College London (UCL)

Robots learn to work together like a well-choreographed dance

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...
GitHub

Subgraph-conditioned Graph Information Bottleneck

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
GitHub

Implementation of "BiGDN: An End-To-End Influence Maximization Framework Based on Deep Reinforcement Learning and Graph Neural Networks"

python test.py --test_graph_path test_data/Wiki-2.txt \ --teacher\ --model q_net.pth \ --k 10 --selection_strategy o test_graphs: there are 8 test graphs, the YouTube graph file is too large to upload ...