liangchundong / HGNN-ACLinks
Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion" 
☆35Updated 4 years ago
Alternatives and similar repositories for HGNN-AC
Users that are interested in HGNN-AC are comparing it to the libraries listed below
Sorting:
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- The source code of HeCo☆168Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Updated last year
- ☆98Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆90Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆179Updated last year
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago
- ☆67Updated 2 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆114Updated last year
- ☆138Updated 2 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- KDD'22☆65Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 4 years ago
- ☆38Updated 3 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆88Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago