JiaruiFeng / KP-GNNLinks
Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
☆63Updated last year
Alternatives and similar repositories for KP-GNN
Users that are interested in KP-GNN are comparing it to the libraries listed below
Sorting:
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 7 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 4 months ago
- ☆49Updated 11 months ago
- Graph Masked Autoencoders☆27Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆58Updated 2 years ago
- ☆20Updated 2 years ago
- ☆99Updated 4 years ago
- ☆42Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- ☆138Updated 2 years ago
- ☆56Updated 3 years ago
- ☆123Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆171Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆262Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- A graph transformer framework☆77Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆139Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 2 years ago