ZINC

Overview edit

Variants: ZINC, ZINC 100k, ZINC-500k, ZINC-full

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Graph Ranking - Metrics: Kendall's Tau
• Graph Regression - Metrics: MAE

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis (2024) -
• Learning Long Range Dependencies on Graphs via Random Walks (2024) -
• CKGConv: General Graph Convolution with Continuous Kernels (2024) -
• An end-to-end attention-based approach for learning on graphs (2024) -
• Topology-Informed Graph Transformer (2024) -
• Graph Transformers without Positional Encodings (2024) -
• Graph-level Representation Learning with Joint-Embedding Predictive Architectures (2023) -
• Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes (2023) -
• CIN++: Enhancing Topological Message Passing (2023) -
• Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman (2023) -
• Graph Inductive Biases in Transformers without Message Passing (2023) -
• Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering (2023) -
• Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers (2023) -
• A Generalization of ViT/MLP-Mixer to Graphs (2022) -
• Recipe for a General, Powerful, Scalable Graph Transformer (2022) -
• Weisfeiler and Lehman Go Cellular: CW Networks (2021) -
• Ranking Structured Objects with Graph Neural Networks (2021) -
• Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing (2021) -
• An Experimental Study of the Transferability of Spectral Graph Networks (2020) -
• Factorizable Graph Convolutional Networks (2020) -