facebookresearch / graph2nn
code for paper "Graph Structure of Neural Networks"
☆155Updated 3 years ago
Alternatives and similar repositories for graph2nn:
Users that are interested in graph2nn are comparing it to the libraries listed below
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆138Updated 4 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆104Updated 2 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆178Updated last year
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- Memory-Based Graph Networks☆102Updated 2 years ago
- Official implementation of our FLAG paper (CVPR2022)☆146Updated 3 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆159Updated 5 years ago
- ☆62Updated 4 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆51Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 9 months ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆90Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆45Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)☆60Updated 4 years ago
- informal exposition of Weisfeiler-Leman similarity☆27Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago