meettyj / HGMAELinks
Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
☆64Updated 2 years ago
Alternatives and similar repositories for HGMAE
Users that are interested in HGMAE are comparing it to the libraries listed below
Sorting:
- ☆119Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆151Updated 7 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- KDD'22☆64Updated 2 years ago
- ☆34Updated 2 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆80Updated 5 months ago
- ☆38Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- ☆75Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 10 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆130Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- TransGNN, SIGIR 2024☆60Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆266Updated 2 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 9 months ago
- A list of recent papers about Link Prediction.☆108Updated 3 weeks ago
- The source code of SpCo☆35Updated 2 years ago
- NeurIPS 2022 - SHGP☆31Updated 2 years ago
- ☆49Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆133Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆179Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆120Updated 11 months ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆50Updated 11 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago