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
- ☆28Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- ☆31Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 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
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- 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
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 3 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- ☆9Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆11Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Work on designing a graph co-attention algorithm.☆18Updated last year
- Code for Online Graph Dictionary Learning☆17Updated 3 years ago
- ☆31Updated last year
- ☆25Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 2 months ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆29Updated 3 weeks ago
- A library for subgraph GNN based on pyg☆41Updated 6 months ago