thaihungle / DMNCLinks
Dual Memory Neural Computer
☆25Updated 3 years ago
Alternatives and similar repositories for DMNC
Users that are interested in DMNC are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 6 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- Memory-Based Graph Networks☆103Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 4 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆74Updated 4 years ago
- MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records☆23Updated 4 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Graph Star Net☆110Updated last year
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- project GCN-VAE for knowledge graphs☆16Updated 4 years ago
- GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination☆140Updated 6 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆33Updated 4 years ago
- Sparse graph attention☆17Updated 6 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- ☆42Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks☆13Updated 3 years ago