Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
Cancer Research

Directed Acyclic Graphs in Oncology Research: Applications and Illustrated Example

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...
Comic Book Movie

A Steven Spielberg-Directed CALL OF DUTY Movie? The Offer Was On The Table Before Activision Chose Paramount

Paramount, fresh off its merger with Skydance, has recently announced that they've secured the film rights to Activision's Call of Duty and plans to produce a live-action film. However, according ot a ...
IEEE

Graph-Based Maximum Connected-Component Learning Algorithm for Small Target Detection in Maritime Radars

Abstract: Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of one-class classifiers boils down ...
IEEE

Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks

Abstract: Motif detection is a graph algorithm that detects certain local structures in a graph. Although network motif has been studied in graph analytics, e.g., social network and biological network ...
GitHub

Enhance Graph Algorithms Page with Step-by-Step Visualizations and Pseudocode

I noticed that the Graph Algorithms section does not yet include the interactive and educational features that were recently introduced in the Sorting Algorithms page I would like to contribute by ...