ytchx1999 / PyG-JK-Nets
PyTorch_Geometric实现的JK-Nets（Jumping Knowledge Network），其中也包括了baseline的GCN和GAT。数据集使用的「Cora、Citeseer、Pubmed」
☆15Updated 4 years ago
Alternatives and similar repositories for PyG-JK-Nets:
Users that are interested in PyG-JK-Nets are comparing it to the libraries listed below
- Python 3 supported version for DySAT☆12Updated 2 years ago
- ☆111Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- ☆68Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆170Updated last year
- The source code of HeCo☆163Updated 3 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆111Updated 2 years ago
- ☆95Updated 4 years ago
- ☆60Updated 4 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 5 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆90Updated 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
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆113Updated 4 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆53Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 2 years ago
- ☆76Updated 2 years ago
- Datasets-for-Heterogeneous-Graph☆127Updated 5 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆49Updated 4 years ago
- ☆39Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆239Updated 4 years ago