SubsetSelection / EquiVSet
NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
☆19Updated 2 years ago
Alternatives and similar repositories for EquiVSet:
Users that are interested in EquiVSet are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Updated 2 years ago
- Research repo for AI aided drug discovery, de novo drug development and related topics☆35Updated 3 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆11Updated 9 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)☆13Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Low Rank Global Attention for Graph Neural Networks☆12Updated 4 years ago
- ☆18Updated 8 months ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"☆10Updated 10 months ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆13Updated 3 years ago
- ☆25Updated 3 years ago
- [COLM 2024] Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation☆11Updated 8 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆110Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- ☆15Updated last year
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- A list of papers for group meeting☆16Updated 3 months ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆11Updated 9 months ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- ☆16Updated 10 months ago
- Edge-Augmented Graph Transformer☆50Updated 2 years ago