silent567

cuda_utils

Wrapper of C++ CUDA functions for accessing GPU information in python

attpool2

Graph Structured Sparse Attentional Pooling-v2

attention-learn-to-route

Attention based model for learning to solve different routing problems

dimenet

DimeNet model, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

GAM

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

gfl

A fast and flexible algorithm for solving the graph-fused lasso

graphvite

A general and high-performance graph embedding system for various applications

nn_parts

neural network modules implemented in Tensorflow for detailed configuration

temporal_model

Models with temporal input signals of variable lengths

IterGNN

Code for Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Multiple-Target-Matching-Network

For multiple target domain adaptation.

neural_clustering_process

Implementation of the Neural Clustering Process algorithm in Pytorch

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

parallel-cut-pursuit

Cut-pursuit algorithms, parallelized along components

PropNet

[ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch_DGCNN

PyTorch implementation of DGCNN

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

shadowsocks-heroku

一键部署 Free Shadowsocks-Heroku

sparse-structured-attention

Sparse and structured neural attention mechanisms

testa

ubuntu-config

Configuration files for setting up Ubuntu