TU datasets
Emerging5papers using it
2023first seen
The TU datasets are a collection of benchmark datasets used for evaluating graph classification tasks, encompassing various graph types and structures to assess the performance of different node embedding techniques.
Papers using TU datasets (5)
- Cross-View Topology-Aware Graph Representation LearningGraph Contrastive Learning via Spectral Graph AlignmentEquivariant Matrix Function Neural NetworksDA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through
Mixture of ExpertsHow Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations