zzhang1987 / Factor-Graph-Neural-Network
Factor Graph Neural Network
☆69Updated 3 years ago
Alternatives and similar repositories for Factor-Graph-Neural-Network:
Users that are interested in Factor-Graph-Neural-Network are comparing it to the libraries listed below
- ☆22Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- ☆22Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆54Updated last year
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 5 years ago
- Solving LPs with convergent message passing☆64Updated last year
- Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. …☆14Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Updated 4 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆45Updated last year
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆15Updated 3 years ago
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆158Updated 5 years ago
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆86Updated 6 years ago
- Factoried Neural Relational Inference for Multi-Interacting Systems☆30Updated 5 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- Codes for CVPR 2022 Paper: "Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond"☆14Updated 2 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆87Updated 5 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆33Updated 5 years ago
- Efficient joint input optimization and inference with DEQ☆10Updated 3 years ago
- Tensorflow implementation of deep variational information bottleneck☆24Updated 2 years ago
- ☆12Updated 4 years ago
- Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.☆21Updated 6 years ago
- ☆77Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆11Updated last year
- clone/download codes from https://anonymous.4open.science/☆32Updated 2 years ago
- Learning To Stop While Learning To Predict☆33Updated 2 years ago
- Factor graphs and loopy belief propagation implemented in Python☆189Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago