luis-mueller / wl-transformers
Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"
☆10Updated 9 months ago
Alternatives and similar repositories for wl-transformers:
Users that are interested in wl-transformers are comparing it to the libraries listed below
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆11Updated 9 months ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆19Updated 2 years ago
- ☆30Updated 3 years ago
- ☆12Updated 5 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Updated 2 years ago
- Sample, estimate, aggregate: A recipe for causal discovery foundation models☆10Updated 9 months ago
- ☆29Updated 2 years ago
- Graph Transformers for Large Graphs☆21Updated 11 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- ☆11Updated last year
- A benchmark of meaningful graph datasets with tabular node features☆13Updated last month
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated last year
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- ☆37Updated 7 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Updated 11 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆11Updated 9 months ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Updated 3 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆11Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- ☆17Updated 2 years ago
- A simple Jax implementation of influence functions.☆16Updated 11 months ago
- ☆18Updated 7 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year