LARS-research / F2GNNLinks
The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022
☆24Updated 3 years ago
Alternatives and similar repositories for F2GNN
Users that are interested in F2GNN are comparing it to the libraries listed below
Sorting:
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆145Updated 2 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆47Updated 3 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆121Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- ☆101Updated 4 years ago
- ☆125Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆39Updated last year
- The source code of HeCo☆171Updated 3 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆173Updated 2 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆62Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 5 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆196Updated last year
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆108Updated last year
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆58Updated last year
- Reimplementation of Graph Embedding methods by Pytorch.☆178Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- ☆276Updated 3 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 weeks ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆49Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆152Updated 2 years ago