Physicists develop new protocol for building photonic graph states

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
GitHub

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors (AAAI 2025)

Recent methods using diffusion models have made significant progress in human image generation with various additional controls such as pose priors. However, existing approaches still struggle to ...
IEEE

Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering

Abstract: Graph-based multiview clustering (MVC) approaches have demonstrated impressive performance by leveraging the consistency properties of multiview data in an unsupervised manner. However, ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
Forbes

How To Learn Python For Free: 10 Online Resources

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...
GitHub

Can Graph Learning Improve Planning in LLM-based Agents?

This is the official implementation for our NeurIPS 2024 paper "Can Graph Learning Improve Planning in LLM-based Agents?" [中文] For running LLM's direct inference or GraphSearch, our codes are ...