OpenCodePapers

graph-regression-on-peptides-struct

Graph Regression
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PaperCodeMAEModelNameReleaseDate
An end-to-end attention-based approach for learning on graphs✓ Link0.2393±0.0004ESA + RWSE (Edge set attention, Random Walk Structural Encoding, tuned)2024-02-16
Next Level Message-Passing with Hierarchical Support Graphs✓ Link0.2421±0.0007GatedGCN-HSG2024-06-22
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence✓ Link0.2421 ± 0.0016GCN+2025-02-13
Molecular Fingerprints Are Strong Models for Peptide Function Prediction✓ Link0.2432ECFP + LightGBM2025-01-29
Molecular Fingerprints Are Strong Models for Peptide Function Prediction✓ Link0.2438TT + LightGBM2025-01-29
A Generalization of ViT/MLP-Mixer to Graphs✓ Link0.2449±0.0016Graph ViT2022-12-27
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures✓ Link0.2453±0.0025MGT+WavePE2023-02-17
An end-to-end attention-based approach for learning on graphs✓ Link0.2453±0.0003ESA (Edge set attention, no positional encodings, not tuned)2024-02-16
Molecular Fingerprints Are Strong Models for Peptide Function Prediction✓ Link0.2459RDKit + LightGBM2025-01-29
Graph Inductive Biases in Transformers without Message Passing✓ Link0.2460±0.0012GRIT2023-05-27
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark✓ Link0.2460±0.0007GCN-tuned2023-09-01
Diffusing Graph Attention0.2461±0.0010Graph Diffuser2023-03-01
Learning Long Range Dependencies on Graphs via Random Walks✓ Link0.2463 ± 0.0005NeuralWalker2024-06-05
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark✓ Link0.2473±0.0017GINE-tuned2023-09-01
A Generalization of ViT/MLP-Mixer to Graphs✓ Link0.2475±0.0015GraphMLPMixer2022-12-27
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark✓ Link0.2477±0.0009GatedGCN-tuned2023-09-01
CKGConv: General Graph Convolution with Continuous Kernels✓ Link0.2477CKGCN2024-04-21
Exphormer: Sparse Transformers for Graphs✓ Link0.2481±0.0007Exphormer2023-03-10
Topology-Informed Graph Transformer✓ Link0.2485TIGT2024-02-03
On the Connection Between MPNN and Graph Transformer✓ Link0.2488±0.0021GCN+virtual node2023-01-27
Pure Transformers are Powerful Graph Learners✓ Link0.2489±0.0013TokenGT2022-07-06
Recipe for a General, Powerful, Scalable Graph Transformer✓ Link0.2500±0.0005GPS2022-05-25
From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis✓ Link0.25BoP2024-11-17
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark✓ Link0.2509±0.0014GPS-tuned2023-09-01
CIN++: Enhancing Topological Message Passing✓ Link0.2523CIN++-500k2023-06-06
Long Range Graph Benchmark✓ Link0.2529±0.0016Transformer+LapPE2022-06-16
DRew: Dynamically Rewired Message Passing with Delay✓ Link0.2536±0.0015DRew-GCN+LapPE2023-05-13
Long Range Graph Benchmark✓ Link0.2545±0.0012SAN+RWSE2022-06-16
Path Neural Networks: Expressive and Accurate Graph Neural Networks✓ Link0.2545±0.0032PathNN2023-06-09
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance✓ Link0.2559ViT-PS2023-06-05
Neural Priority Queues for Graph Neural Networks0.2589±0.0031NPQ+GATv22023-07-18
Graph Transformers without Positional Encodings0.2599EIGENFORMER2024-01-31
Long Range Graph Benchmark✓ Link0.2683±0.0043SAN+LapPE2022-06-16
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring✓ Link0.3272±0.0001GCN + PANDA2024-06-06
Long Range Graph Benchmark✓ Link0.3357±0.0006GatedGCN+RWSE2022-06-16
Long Range Graph Benchmark✓ Link0.3420±0.0013GatedGCN2022-06-16
Simple and Deep Graph Convolutional Networks✓ Link0.3471±0.0010GCNII2020-07-04
Long Range Graph Benchmark✓ Link0.3496±0.0013GCN2022-06-16
Long Range Graph Benchmark✓ Link0.3547±0.0045GINE2022-06-16
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