FilippoMB / Total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
☆20Updated last week
Alternatives and similar repositories for Total-variation-graph-neural-networks:
Users that are interested in Total-variation-graph-neural-networks are comparing it to the libraries listed below
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆11Updated 2 months ago
- ☆13Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆23Updated last year
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Updated 2 years ago
- ☆20Updated 3 years ago
- ☆10Updated 2 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- SetToGraph paper repository☆22Updated 4 years ago
- ☆12Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- ☆37Updated 7 months ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆12Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Updated 3 years ago
- ☆23Updated 3 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆14Updated 9 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated 8 months ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- Synthetic graph generator☆12Updated last year
- ☆21Updated 11 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- ☆9Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 8 months ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago