delta2323 / GB-GNN
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
☆13Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for GB-GNN
- ☆12Updated 3 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- ☆12Updated 3 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Updated 2 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 6 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆13Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 2 years ago
- ☆17Updated 5 years ago
- ☆35Updated 5 years ago
- NeurIPS 2019 Paper Implementation☆13Updated 2 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Updated last year
- Fast graph-regularized matrix factorization☆20Updated last year
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 2 years ago
- ☆10Updated 2 years ago
- ☆12Updated 4 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆10Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Code for core-fringe link prediction☆11Updated 5 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Updated 4 years ago