hwwang55 / GCN-LPA
A tensorflow implementation of GCN-LPA
☆99Updated 5 years ago
Alternatives and similar repositories for GCN-LPA:
Users that are interested in GCN-LPA are comparing it to the libraries listed below
- HDGI code☆61Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- ☆29Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆115Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆80Updated 6 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 3 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 5 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- Collect papers about graph☆75Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 2 months ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- Deep Multi-Graph Clustering via Attentive Cross-Graph Association☆24Updated 5 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago