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:
- Experiments with Message Passing GNNs in C++ and PyTorch.☆26Updated last year
- A fast implementation of spectral clustering on GPU-CPU Platform☆32Updated 7 years ago
- Distributed NMF/NTF Library☆51Updated last year
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 8 years ago
- CUDA implementation of the Blocked Floyd Warshall All pairs shortest path graph algorithm☆42Updated 7 years ago
- The Surprisingly ParalleL spArse Tensor Toolkit.☆73Updated 3 years ago
- Introduction to CUDA programming☆129Updated 8 years ago
- Computations involving Lie groups and harmonic analysis☆206Updated 11 months ago
- Light-weight GPU kernel interface for graph operations☆15Updated 5 years ago
- matrix multiplication in CUDA☆125Updated 2 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 9 years ago
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- ☆23Updated 6 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- Sparse matrix computation library for GPU☆59Updated 5 years ago
- IPC: A Graph Data Set Compiled from International Planning Competitions☆47Updated 6 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆49Updated 8 years ago
- Tensor Train decomposition on TensorFlow☆227Updated 4 years ago
- Implementing Google's DistBelief paper☆116Updated 3 years ago
- Large matrix multiplication in CUDA☆17Updated 2 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 8 years ago
- ☆98Updated 8 years ago
- The pMMF Multiresolution Matrix Factorization Library☆27Updated 7 years ago
- A general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and o…☆22Updated 3 years ago
- ☆44Updated 2 years ago
- Low-Level Graph Neural Network Operators for PyG☆221Updated this week
- Our own implementation of Neural Message Passing for Computer Vision paper☆343Updated 5 years ago
- CUDA-accelerated minimum spanning tree algorithm -- data parallel Boruvka's algorithm☆21Updated 9 years ago
- Sparse Matrix-Matrix Multiplication Benchmark on Intel Xeon and Xeon Phi (KNC, KNL) from blog post:☆12Updated 9 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago