ellisalicante / GraphRewiring-TutorialLinks
This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"
☆54Updated 3 years ago
Alternatives and similar repositories for GraphRewiring-Tutorial
Users that are interested in GraphRewiring-Tutorial are comparing it to the libraries listed below
Sorting:
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆203Updated last year
- List of papers on NeurIPS2023☆90Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 10 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- Graph Positional and Structural Encoder☆54Updated 11 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆49Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- ☆85Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Updated 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
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆84Updated 2 years ago
- A list for GNNs and related works.☆102Updated 3 weeks ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last week
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 6 months ago
- ☆42Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago