Dec 22, 2022 · Artificial Intelligence

Understanding Graph Neural Network Expressiveness and Differences between MPNN and Graph‑Augmented MLP

The article answers three key questions on graph neural networks—whether expressive power correlates with performance, how MPNNs differ from Graph‑Augmented MLPs, and why expressive ability relates to subgraph counting—while also announcing DataFun’s 5‑year anniversary series of AI and big‑data articles.

ExpressivenessMPNNSubgraph Counting

0 likes · 5 min read

Understanding Graph Neural Network Expressiveness and Differences between MPNN and Graph‑Augmented MLP

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Jan 2, 2022 · Artificial Intelligence

Understanding the Expressive Power of Graph Neural Networks and Advanced Models

This article reviews the theoretical foundations of graph neural networks, evaluates their expressive capabilities through tasks such as distinguishing non‑isomorphic graphs, subgraph counting, and attributed walk counting, and introduces stronger models like Ring‑GNN, Local Relational Pooling, and Graph‑Augmented MLP with experimental results on molecular prediction.

Expressive PowerGraph-Augmented MLPInvariant Graph Network

0 likes · 15 min read

Understanding the Expressive Power of Graph Neural Networks and Advanced Models