zhiqiangzhongddu / PM-HGNNLinks
[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)
☆10Updated 2 years ago
Alternatives and similar repositories for PM-HGNN
Users that are interested in PM-HGNN are comparing it to the libraries listed below
Sorting:
- ☆118Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated last year
- ☆59Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆94Updated 3 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- ☆331Updated last year
- The source code of HeCo☆168Updated 3 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆177Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 3 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13Updated 4 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Python 3 supported version for DySAT☆12Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- ☆26Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 3 years ago
- Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection☆19Updated 3 years ago
- Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"☆34Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆20Updated last year
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated 2 years ago
- ☆70Updated 3 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 3 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆58Updated 10 months ago
- ☆29Updated 11 months ago
- KDD'22☆64Updated 2 years ago
- ☆60Updated 2 years ago