tk-rusch / GraphCONLinks
GraphCON (ICML 2022)
☆59Updated 3 years ago
Alternatives and similar repositories for GraphCON
Users that are interested in GraphCON are comparing it to the libraries listed below
Sorting:
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- ☆42Updated 3 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- ☆31Updated last year
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆113Updated 2 years ago
- SignNet and BasisNet☆101Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Graph Neural PDEs☆335Updated 3 years ago
- ☆21Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 3 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆179Updated 2 years ago
- Code for Graph Normalizing Flows.☆63Updated 6 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- ☆23Updated last year
- Random walk unit with memory☆23Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆80Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- ☆28Updated 4 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆83Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆30Updated 2 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated 2 years ago
- A library for subgraph GNN based on pyg☆40Updated 11 months ago
- ☆155Updated 4 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆83Updated last year