tonysy / awesome-graph-networksLinks
Materials for Graph Models and Graph Networks
☆11Updated 7 years ago
Alternatives and similar repositories for awesome-graph-networks
Users that are interested in awesome-graph-networks are comparing it to the libraries listed below
Sorting:
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- PyTorch Extension Library of Optimized Unique Operation☆37Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 8 years ago
- Notes from ICLR 2019☆25Updated 6 years ago
- Proceedings of ICML 2018☆39Updated 3 months ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 8 years ago
- Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019☆13Updated 3 years ago
- a list of recent papers on transfer learning☆24Updated 8 years ago
- Notes from NeurIPS 2019☆29Updated 6 years ago
- ☆19Updated 6 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 3 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- Proceedings of ICML 2019☆33Updated 3 months ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Logging utility for ML experiments☆16Updated 3 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Training and evaluating self-supervised deep neural networks☆27Updated 8 years ago