ronghangzhu / CensNetLinks
☆70Updated 3 years ago
Alternatives and similar repositories for CensNet
Users that are interested in CensNet are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 7 months ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆416Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆250Updated 5 years ago
- ☆330Updated last year
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- 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
- ☆119Updated 2 years ago
- Graph Attention Auto-Encoders☆78Updated 2 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆113Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆271Updated 2 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 4 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆179Updated last year
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection☆19Updated 3 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆201Updated 4 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆176Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- ☆44Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆440Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆334Updated last year
- Representation learning on dynamic graphs using self-attention networks☆301Updated 2 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆168Updated 2 years ago