| An end-to-end attention-based approach for learning on graphs | ✓ Link | 0.051 | ESA + rings + NodeRWSE + EdgeRWSE | 2024-02-16 |
| Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers | ✓ Link | 0.056 | CSA | 2023-04-21 |
| Topology-Informed Graph Transformer | ✓ Link | 0.057 | TIGT | 2024-02-03 |
| Graph Inductive Biases in Transformers without Message Passing | ✓ Link | 0.059 | GRIT | 2023-05-27 |
| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman | ✓ Link | 0.059 | N2-GNN | 2023-06-05 |
| CKGConv: General Graph Convolution with Continuous Kernels | ✓ Link | 0.059 | CKGCN | 2024-04-21 |
| Learning Long Range Dependencies on Graphs via Random Walks | ✓ Link | 0.065 ± 0.001 | NeuralWalker | 2024-06-05 |
| Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering | ✓ Link | 0.066 ± 0.002 | PDF | 2023-05-10 |
| Recipe for a General, Powerful, Scalable Graph Transformer | ✓ Link | 0.070 ± 0.002 | GPS | 2022-05-25 |
| Recipe for a General, Powerful, Scalable Graph Transformer | ✓ Link | 0.070 ± 0.004 | GINE | 2022-05-25 |
| Substructure Aware Graph Neural Networks | ✓ Link | 0.072±0.002 | SAGNN | 2023-06-26 |
| CIN++: Enhancing Topological Message Passing | ✓ Link | 0.074 | CIN++ | 2023-06-06 |
| A Generalization of ViT/MLP-Mixer to Graphs | ✓ Link | 0.075 ± 0.001 | GraphMLPMixer | 2022-12-27 |
| CIN++: Enhancing Topological Message Passing | ✓ Link | 0.077 | CIN++-500k | 2023-06-06 |
| Graph Transformers without Positional Encodings | | 0.077 | EIGENFORMER | 2024-01-31 |
| Weisfeiler and Lehman Go Cellular: CW Networks | ✓ Link | 0.079 | CIN | 2021-06-23 |
| Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing | ✓ Link | 0.088 | CRaWl+VN | 2021-02-17 |
| CIN++: Enhancing Topological Message Passing | ✓ Link | 0.091 | CIN++-small | 2023-06-06 |
| Weisfeiler and Lehman Go Cellular: CW Networks | ✓ Link | 0.094 | CIN-small | 2021-06-23 |
| Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes | | 0.096 | PIN | 2023-08-13 |
| Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing | ✓ Link | 0.101 | CRaWl | 2021-02-17 |
| Principal Neighbourhood Aggregation for Graph Nets | ✓ Link | 0.142 | PNA | 2020-04-12 |
| Multi-Mask Aggregators for Graph Neural Networks | ✓ Link | 0.156 | MMA | 2022-11-24 |
| From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | ✓ Link | 0.297 | BoP | 2024-11-17 |
| An Experimental Study of the Transferability of Spectral Graph Networks | ✓ Link | 0.360 | ChebNet | 2020-12-18 |
| Factorizable Graph Convolutional Networks | ✓ Link | 0.366 | FactorGCN | 2020-10-12 |
| Graph-level Representation Learning with Joint-Embedding Predictive Architectures | ✓ Link | 0.434 | Graph-JEPA | 2023-09-27 |