AI Paper Atlas

Research map / Probabilistic and scientific modeling / Molecules and proteins

Heterogeneous Diffusion Structure Inference for Network Cascade

NeurIPS 2025 · Probabilistic and scientific modeling › Molecules and proteins · approach: Sparse graphical and tensor models

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes a method for inferring heterogeneous diffusion structure from network cascade observations; only the title and a truncated abstract were available.

Problem

Inferring the propagation structure of network cascades, where diffusion behavior varies across heterogeneous parts of the network. Abstract is truncated, so details are limited.

Approach

Not stated in the available abstract text.

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy