AdrianArnaiz / DiffWire
DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DiffWire
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆53Updated last year
- ☆30Updated 11 months ago
- Graph Transformers for Large Graphs☆20Updated 6 months ago
- Graph Positional and Structural Encoder☆42Updated last month
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- A Note On Over-Smoothing for Graph Neural Network☆18Updated 4 years ago
- ☆18Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆37Updated 7 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last year
- ☆26Updated 3 years ago
- Gradient gating (ICLR 2023)☆52Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆40Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆45Updated 3 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆20Updated 11 months ago
- ☆24Updated 7 months ago
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆29Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆17Updated 8 months ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆29Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆77Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆15Updated 4 months ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆16Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators.☆33Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆25Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- A library for subgraph GNN based on pyg☆39Updated 5 months ago