hilbert9221 / NRI-MPMLinks
Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).
☆17Updated 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:
- Neural Dynamics on Complex Networks☆54Updated 5 years ago
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- ☆31Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆90Updated last year
- ☆28Updated 4 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated 2 years ago
- GraphCON (ICML 2022)☆59Updated 3 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 3 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated 2 years ago
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆13Updated 4 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆22Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆30Updated 2 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆50Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code Repository for GDSS using Graph Transformer☆16Updated last year
- A library for subgraph GNN based on pyg☆40Updated 10 months ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 3 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆128Updated last month
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- ☆41Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆112Updated 2 years ago