| 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 |
| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman | ✓ Link | 0.059 | N2-GNN | 2023-06-05 |
| Graph Inductive Biases in Transformers without Message Passing | ✓ Link | 0.059 | GRIT | 2023-05-27 |
| Enhancing Graph Transformers with Hierarchical Distance Structural Encoding | ✓ Link | 0.062 | GraphGPS + HDSE | 2023-08-22 |
| Equivariant Matrix Function Neural Networks | | 0.063 | MFN (CGN) | 2023-10-16 |
| Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence | ✓ Link | 0.065 | GIN+ | 2025-02-13 |
| Learning Efficient Positional Encodings with Graph Neural Networks | ✓ Link | 0.0655 | B-PEARL | 2025-02-03 |
| Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering | ✓ Link | 0.066 | PDF | 2023-05-10 |
| Learning Efficient Positional Encodings with Graph Neural Networks | ✓ Link | 0.0696 | R-PEARL | 2025-02-03 |
| A New Perspective on the Effects of Spectrum in Graph Neural Networks | ✓ Link | 0.0698 | Spec-GN | 2021-12-14 |
| Recipe for a General, Powerful, Scalable Graph Transformer | ✓ Link | 0.070 | GPS | 2022-05-25 |
| Substructure Aware Graph Neural Networks | ✓ Link | 0.072 | SAGNN | 2023-06-26 |
| Graph Propagation Transformer for Graph Representation Learning | ✓ Link | 0.077 | GPTrans-Nano | 2023-05-19 |
| Weisfeiler and Lehman Go Cellular: CW Networks | ✓ Link | 0.079 | CIN | 2021-06-23 |
| Sign and Basis Invariant Networks for Spectral Graph Representation Learning | ✓ Link | 0.084 | PNA-SignNet | 2022-02-25 |
| Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing | ✓ Link | 0.088 | CRaWl+VN | 2021-02-17 |
| Graph Neural Networks with Learnable Structural and Positional Representations | ✓ Link | 0.090 | GatedGCN-LSPE | 2021-10-15 |
| Weisfeiler and Lehman Go Cellular: CW Networks | ✓ Link | 0.094 | CIN-small | 2021-06-23 |
| Graph Neural Networks with Learnable Structural and Positional Representations | ✓ Link | 0.095 | PNA-LSPE | 2021-10-15 |
| Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing | ✓ Link | 0.101 | CRaWl | 2021-02-17 |
| Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting | ✓ Link | 0.101 | GSN | 2020-06-16 |
| Graph Neural Networks with Learnable Structural and Positional Representations | ✓ Link | 0.104 | SAN-LSPE | 2021-10-15 |
| Global Self-Attention as a Replacement for Graph Convolution | ✓ Link | 0.108 | EGT | 2021-08-07 |
| Do Transformers Really Perform Bad for Graph Representation? | ✓ Link | 0.122 | Graphormer-SLIM | 2021-06-09 |
| Neural Message Passing for Quantum Chemistry | ✓ Link | 0.145 | MPNN (sum) | 2017-04-04 |
| Benchmarking Graph Neural Networks | ✓ Link | 0.214 | GatedGCN-PE | 2020-03-02 |
| Benchmarking Graph Neural Networks | ✓ Link | 0.214 | GatedGCN-E-PE | 2020-03-02 |
| Neural Message Passing for Quantum Chemistry | ✓ Link | 0.252 | MPNN (max) | 2017-04-04 |
| Residual Gated Graph ConvNets | ✓ Link | 0.282 | GatedGCN | 2017-11-20 |
| Geometric deep learning on graphs and manifolds using mixture model CNNs | ✓ Link | 0.292 | MoNet | 2016-11-25 |
| Provably Powerful Graph Networks | ✓ Link | 0.303 | 3WLGNN | 2019-05-27 |
| On the equivalence between graph isomorphism testing and function approximation with GNNs | ✓ Link | 0.353 | RingGNN | 2019-05-29 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 0.398 | GraphSage | 2017-06-07 |
| How Powerful are Graph Neural Networks? | ✓ Link | 0.526 | GIN | 2018-10-01 |
| CKGConv: General Graph Convolution with Continuous Kernels | ✓ Link | 5.9 | CKGCN | 2024-04-21 |