Frontiers

LG-H-PPO: offline hierarchical PPO for robot path planning on a latent graph

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...
InfoQ

Modeling Complex Data Structure in Golang Using Pointers, References, and Reverse Indices

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
Nature

DGHSA: derivative graph-based hypergraph structure attack

Hypergraph Neural Networks (HGNNs) have been significantly successful in higher-order tasks. However, recent study have shown that they are also vulnerable to adversarial attacks like Graph Neural ...
Common Sense Media

Common Sense Media Review

Parents need to know that PiggyBot is a virtual piggy bank for parents to manage kids' allowances. No money is actually exchanged; the app serves as a digital IOU for kids and parents to track how ...
IEEE

Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty

Abstract: We consider the problem of learning a graph from a finite set of noisy graph signal observations, the goal of which is to find a smooth representation of the graph signal. Such a problem is ...
IEEE

A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data

Abstract: Learning the structure of Bayesian networks (BNs) from high dimensional discrete data is common nowadays but a challenging task, due to the large parameter space, the acyclicity constraint ...
Nature

Hierarchical graph learning for protein–protein interaction

Protein-Protein Interactions (PPIs) are fundamental means of functions and signalings in biological systems. The massive growth in demand and cost associated with experimental PPI studies calls for ...
GitHub

Ariadne: Binary Ninja Graph Analysis Plugin

Ariadne is a Binary Ninja plugin that serves a browser-based interactive graph visualization for assisting reverse engineers. It implements some common static analysis tasks including call graph ...
Frontiers

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network

In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
Wired

What's a Semi-Log Plot and How Can You Use It for Covid Data?

It's quite clear that things aren't going so well with this Covid-19 pandemic. I mean, it's bad, and it seems to be getting worse. The number of infected humans is just getting stupid-large. As of ...
PNAS

On a two-truths phenomenon in spectral graph clustering

Spectral graph clustering—clustering the vertices of a graph based on their spectral embedding—is of significant current interest, finding applications throughout the sciences. But as with clustering ...