hadarser / ProvablyPowerfulGraphNetworks_torch
☆39Updated 4 years ago
Alternatives and similar repositories for ProvablyPowerfulGraphNetworks_torch:
Users that are interested in ProvablyPowerfulGraphNetworks_torch are comparing it to the libraries listed below
- ☆16Updated 4 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆41Updated last year
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆104Updated 2 years ago
- Graph Neural Network☆43Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆84Updated 5 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- ☆62Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Official implementation of our FLAG paper (CVPR2022)☆143Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- ☆27Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 3 years ago
- Implicit Graph Neural Networks☆60Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆25Updated 3 years ago
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation☆51Updated last year
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago