hilbert9221 / NRI-MPMLinks
Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).
☆16Updated 4 years ago
Alternatives and similar repositories for NRI-MPM
Users that are interested in NRI-MPM are comparing it to the libraries listed below
Sorting:
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 3 years ago
- ☆28Updated 3 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆31Updated last year
- ☆20Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- ☆21Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 2 years ago
- ☆47Updated 3 years ago
- Edge-Augmented Graph Transformer☆77Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 3 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆13Updated 3 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 2 years ago
- ☆13Updated 5 months ago
- ☆20Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Topological Neural Networks go Persistent, Equivariant and Continuous☆13Updated last year
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago