HongyangGao / hConv-gPool-NetLinks
TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
☆27Updated 6 years ago
Alternatives and similar repositories for hConv-gPool-Net
Users that are interested in hConv-gPool-Net are comparing it to the libraries listed below
Sorting:
- ☆61Updated 5 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆120Updated 3 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 5 years ago
- ☆42Updated 2 years ago
- GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks☆13Updated 4 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 7 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 8 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- ☆137Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 5 years ago
- Semi-supervised User Geolocation via Graph Convolutional Networks☆67Updated 4 years ago
- Graph Star Net☆110Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"☆110Updated 6 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)☆65Updated 6 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Multi-relational Poincaré Graph Embeddings☆162Updated 6 years ago
- Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019☆100Updated 6 years ago
- Pytorch implementation of Quaternion Knowledge Graph Embeddings.☆110Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Source code for ACL2019 paper "Multi-Channel Graph Neural Network for Entity Alignment".☆60Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- ☆36Updated 7 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago