HyTruongSon / GraphFlowLinks
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
☆53Updated 4 years ago
Alternatives and similar repositories for GraphFlow
Users that are interested in GraphFlow are comparing it to the libraries listed below
Sorting:
- The Surprisingly ParalleL spArse Tensor Toolkit.☆71Updated 3 years ago
- Computations involving Lie groups and harmonic analysis☆206Updated 7 months ago
- ☆23Updated 5 years ago
- Experiments with Message Passing GNNs in C++ and PyTorch.☆26Updated last year
- Introduction to CUDA programming☆125Updated 8 years ago
- Distributed NMF/NTF Library☆47Updated 9 months ago
- matrix multiplication in CUDA☆123Updated 2 years ago
- CUDA implementation of the Blocked Floyd Warshall All pairs shortest path graph algorithm☆42Updated 7 years ago
- ☆70Updated 2 years ago
- Einsum optimization using opt_einsum and PyTorch FX graph rewriting☆21Updated 3 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- Sparse matrix computation library for GPU☆56Updated 5 years ago
- Graph Convolutional Networks in JAX☆33Updated 4 years ago
- PyTorch-MPI-DDP-example☆17Updated 7 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆51Updated 7 years ago
- Parallel Tensor Infrastructure (ParTI!)☆30Updated 5 years ago
- IPC: A Graph Data Set Compiled from International Planning Competitions☆46Updated 5 years ago
- ☆95Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- High-Performance Tensor Transpose library☆203Updated 2 years ago
- Low-Level Graph Neural Network Operators for PyG☆210Updated this week
- ☆43Updated 2 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆71Updated 8 years ago
- A fast implementation of spectral clustering on GPU-CPU Platform☆32Updated 7 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 8 years ago
- ☆32Updated 5 years ago
- Some CUDA design patterns and a bit of template magic for CUDA☆156Updated 2 years ago
- Simple example of implementing a new Tensorflow operation and its gradient in C++.☆56Updated 6 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago