tcalexwang / tfGMN
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
☆22Updated 4 years ago
Alternatives and similar repositories for tfGMN:
Users that are interested in tfGMN are comparing it to the libraries listed below
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆82Updated 2 years ago
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆46Updated 3 years ago
- ☆29Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆72Updated 2 years ago
- ☆51Updated 4 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆99Updated 4 years ago
- H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)☆57Updated 2 years ago
- ☆20Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆115Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 8 months ago
- This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"☆17Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆39Updated 6 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 5 years ago
- bilinear graph neural network☆29Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆53Updated 5 years ago
- ☆61Updated 4 years ago
- Pytorch implementation of Relational GCN for node classification☆69Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- Graph Cross Network☆48Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆31Updated 5 years ago