ogbn-papers-100M

The 'ogbn-papers-100M' dataset contains a large-scale graph of academic papers and is used to evaluate the performance of graph neural networks (GNNs) in representation learning.

Papers using ogbn-papers-100M (5)

SIGN: Scalable Inception Graph Neural Networks2020 · 188 citesDeep Graph Neural Networks with Shallow Subgraph Samplers2020 · 13 citesDisentangled Condensation for Large-scale Graphs2024Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks2024Graph Attention Multi-Layer Perceptron2022