Pinned Repositories
attention-learn-to-route
Attention based model for learning to solve different routing problems
attpool2
Graph Structured Sparse Attentional Pooling-v2
cuda_utils
Wrapper of C++ CUDA functions for accessing GPU information in python
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
silent567's Repositories
silent567/cuda_utils
Wrapper of C++ CUDA functions for accessing GPU information in python
silent567/attpool2
Graph Structured Sparse Attentional Pooling-v2
silent567/attention-learn-to-route
Attention based model for learning to solve different routing problems
silent567/dimenet
DimeNet model, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020)
silent567/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
silent567/GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
silent567/gfl
A fast and flexible algorithm for solving the graph-fused lasso
silent567/graphvite
A general and high-performance graph embedding system for various applications
silent567/nn_parts
neural network modules implemented in Tensorflow for detailed configuration
silent567/temporal_model
Models with temporal input signals of variable lengths
silent567/IterGNN
Code for Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
silent567/k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
silent567/Multiple-Target-Matching-Network
For multiple target domain adaptation.
silent567/neural_clustering_process
Implementation of the Neural Clustering Process algorithm in Pytorch
silent567/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
silent567/parallel-cut-pursuit
Cut-pursuit algorithms, parallelized along components
silent567/PropNet
[ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation
silent567/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
silent567/pytorch-cifar
95.16% on CIFAR10 with PyTorch
silent567/pytorch_DGCNN
PyTorch implementation of DGCNN
silent567/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
silent567/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
silent567/shadowsocks-heroku
一键部署 Free Shadowsocks-Heroku
silent567/sparse-structured-attention
Sparse and structured neural attention mechanisms
silent567/testa
silent567/ubuntu-config
Configuration files for setting up Ubuntu