aravindsankar28 / Meta-GNNLinks
Implementation of Meta-GNN in TensorFlow
☆47Updated 4 years ago
Alternatives and similar repositories for Meta-GNN
Users that are interested in Meta-GNN are comparing it to the libraries listed below
Sorting:
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 10 months ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆30Updated 3 years ago
- Source code for AAAI 2019 paper "Hyperbolic Heterogeneous Information Network Embedding"☆24Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- ☆29Updated 4 years ago
- Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".☆21Updated 7 years ago
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- Implementation of some network representation methods including DeepWalk, LINE, node2vec and GraphGAN (In TensorFlow)☆23Updated 7 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆45Updated 6 years ago
- HDGI code☆61Updated 5 years ago
- Accelerated Attributed Network Embedding, SDM 2017☆50Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- ☆35Updated 5 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- bilinear graph neural network☆30Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 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