gasteigerjo / gtnLinks
Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
☆15Updated 2 years ago
Alternatives and similar repositories for gtn
Users that are interested in gtn are comparing it to the libraries listed below
Sorting:
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆32Updated 2 years ago
- ☆30Updated 4 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 3 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 4 years ago
- ☆26Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Graph Positional and Structural Encoder☆54Updated 11 months ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 4 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated last year
- ☆12Updated 4 years ago
- ☆32Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- ☆25Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 3 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 3 years ago
- ☆19Updated 2 years ago
- ☆13Updated 4 years ago
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆18Updated 2 years ago
- ☆31Updated 2 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 9 months ago