Sunefei / PathNetLinks
The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".
☆22Updated 2 years ago
Alternatives and similar repositories for PathNet
Users that are interested in PathNet are comparing it to the libraries listed below
Sorting:
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆18Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆40Updated 2 years ago
- ☆74Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- ☆34Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆314Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- Papers about hypergraph, their applications, and even similar ideas.☆20Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆41Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆38Updated 4 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- ☆181Updated 11 months ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆40Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆122Updated last year
- A paper collection about automated graph learning☆98Updated last year
- A curated list of papers on graph structure learning (GSL).☆51Updated 11 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆122Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆47Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Updated last year
- A graph transformer framework☆78Updated 3 years ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- A curated list of papers on large-scale graph learning.☆28Updated last year
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"☆97Updated last year
- A Survey of Learning from Graphs with Heterophily☆154Updated 9 months ago