ronghangzhu / CensNet
☆68Updated 2 years ago
Alternatives and similar repositories for CensNet:
Users that are interested in CensNet are comparing it to the libraries listed below
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated 2 years ago
- ☆30Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆111Updated 3 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆133Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆134Updated 2 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆105Updated 2 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆103Updated 5 years ago
- Graph Attention Auto-Encoders☆75Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 10 months ago
- Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection☆19Updated 3 years ago
- a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.☆44Updated last year
- ☆95Updated 3 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆38Updated 5 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆87Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- ☆76Updated 3 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆232Updated 4 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆54Updated 10 months ago
- ☆52Updated 3 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- ☆310Updated 7 months ago
- Python 3 supported version for DySAT☆13Updated last year
- ☆42Updated 3 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated last year
- ☆106Updated last year
- The PyTorch version of ChebyNet.☆35Updated 3 months ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆245Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago