AnirudhDagar / MessagePassing_for_GNNsLinks
Experiments with Message Passing GNNs in C++ and PyTorch.
☆26Updated 11 months ago
Alternatives and similar repositories for MessagePassing_for_GNNs
Users that are interested in MessagePassing_for_GNNs are comparing it to the libraries listed below
Sorting:
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- ☆12Updated 4 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 3 years ago
- Implementation of "Learning Deep Generative Models"☆12Updated 6 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago
- The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 3 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 3 years ago
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆35Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)☆36Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…