AdrianArnaiz / DiffWireLinks
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.
☆19Updated 2 years ago
Alternatives and similar repositories for DiffWire
Users that are interested in DiffWire are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆13Updated 11 months ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Graph Positional and Structural Encoder☆50Updated 4 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆23Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 2 years ago
- ☆31Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Official Implementation of Half-Hop☆19Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆40Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆21Updated 2 years ago
- ☆27Updated 4 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last month
- Graph Transformers for Large Graphs☆21Updated last year
- Graph Masked Autoencoders☆26Updated 2 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated 2 years ago