Business Matters

Detecting Configuration Drift: Continuous Controls vs. Point-in-Time Snapshots

For years, security programs have relied on point-in-time snapshots to prove control effectiveness. They’ll run a quarterly audit here, a monthly scan there.
IEEE

CFC-GMixer: Closed-Form Continuous-Time Graph Networks with Multi-Scale Feature Mixer for Stock Predictions

Abstract: Understanding and modeling dynamic inter-stock dependencies is crucial for effective investment decisions. While graph-based methods have demonstrated potential in capturing stock ...
Kalkine Media

Chegg (NYSE:CHGG) Remains A Russell 1000 Name To Watch In Digital Learning

Chegg Inc. (NYSE:CHGG) is a United States–based education technology company whose evolution into a digital learning platform ...
IEEE

CAMCKG: A Framework for Trigger-Action Recommendation Combining Attention Mechanism and Continuous Kernel Graph Convolution

Abstract: Trigger-Action Programming (TAP) enables the automation of Internet of Things (IoT) processes by creating rules that trigger specific actions based on certain conditions. As the number of ...
GitHub

DeFoG: Discrete Flow Matching for Graph Generation

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...
GitHub

Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation

This repository contains the official code for our MICCAI 2025 paper, “Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation.” We introduce a discrete diffusion framework that ...