Datasets and Benchmarks

Presented at the 27th European Conference on Artificial Intelligence (ECAI 2024).

We present Topological Augmentation (TopoAug), a novel graph augmentation method incorporating higher-order node relations for real-world complex networks, and provide 23 novel real-world graph datasets across various domains.

PhD Research Project – We present Topological Augmentation (TopoAug), a novel graph augmentation method incorporating higher-order node relations for real-world complex networks, and provide 23 novel real-world graph datasets across various domains.

PhD Research Project – We present Topological Augmentation (TopoAug), a novel graph augmentation method incorporating higher-order node relations for real-world complex networks, and provide 23 novel real-world graph datasets across various domains.

We introduce the concept of hybrid graphs, a unified definition for higher-order graphs, and present the Hybrid Graph Benchmark (HGB), a collection of hybrid graph datasets with an extensible evaluation framework.

PhD Research Project – We introduce the concept of hybrid graphs, a unified definition for higher-order graphs, and present the Hybrid Graph Benchmark (HGB), a collection of hybrid graph datasets with an extensible evaluation framework.

PhD Research Project – We introduce the concept of hybrid graphs, a unified definition for higher-order graphs, and present the Hybrid Graph Benchmark (HGB), a collection of hybrid graph datasets with an extensible evaluation framework.