chang2000 / tfGMN
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
☆21Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for tfGMN
- ☆48Updated 4 years ago
- Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"☆44Updated 3 years ago
- ☆146Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆29Updated 4 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆31Updated 5 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆82Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆70Updated 2 years ago
- A tensorflow implementation of GCN-LPA☆98Updated 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)☆56Updated 2 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆57Updated last year
- Collect papers about graph☆75Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆44Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆109Updated last year
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆111Updated 4 years ago
- PyToch implementation of R-GCN model for node classification and link prediction☆40Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆113Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- HDGI code☆60Updated 4 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 3 months ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- bipartite-graph-learning☆28Updated 4 years ago