thaihungle / DMNCLinks
Dual Memory Neural Computer
☆26Updated 3 years ago
Alternatives and similar repositories for DMNC
Users that are interested in DMNC are comparing it to the libraries listed below
Sorting:
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 6 years ago
- GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination☆142Updated 6 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- Hypernetwork Knowledge Graph Embeddings☆53Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 5 years ago
- ☆35Updated 6 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Pytorch implementation of Quaternion Knowledge Graph Embeddings.☆110Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 4 years ago
- Graph Star Net☆110Updated last year
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆111Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 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
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 5 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago