twitter-research / feature-propagationLinks
☆86Updated 3 years ago
Alternatives and similar repositories for feature-propagation
Users that are interested in feature-propagation are comparing it to the libraries listed below
Sorting:
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆144Updated 11 months ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- Temporal Graph Benchmark project repo☆243Updated 3 months ago
- Parameterized Explainer for Graph Neural Network☆141Updated last year
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- A curated list of graph data augmentation papers.☆313Updated last year
- ☆78Updated 3 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 6 months ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆203Updated last year
- ☆156Updated 4 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- ☆144Updated 2 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- A list for GNNs and related works.☆102Updated last month
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- ☆139Updated 2 years ago
- ☆19Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆49Updated last year
- ☆65Updated 3 weeks ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- ☆146Updated 4 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- Graph Structured Neural Network☆40Updated 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