ASzot / ggnn
Gated Graph Sequential Neural Networks in PyTorch. Easy to read and understand.
☆17Updated 4 years ago
Alternatives and similar repositories for ggnn:
Users that are interested in ggnn are comparing it to the libraries listed below
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP☆73Updated 5 years ago
- [UNMAINTAINED] A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) for Graph Classification☆20Updated 5 years ago
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆123Updated 4 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 5 years ago
- A list of latest research papers on graph-bert☆46Updated 4 years ago
- ☆61Updated 4 years ago
- Source code of "Segmented GRAPH-BERT Model"☆23Updated 4 years ago
- Heterogeneous Graph Transformer for Graph-to-Sequence Learning☆48Updated 4 years ago
- Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"☆190Updated 6 months ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆114Updated 2 years ago
- Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]☆141Updated 3 years ago
- Bachelor degree research on heterogeneous information network alignment.☆31Updated 5 years ago
- A simple Pytorch implementation of Gated Graph Neural Networks☆58Updated 6 years ago
- Tri-Party Deep Network Representation, IJCAI-16☆72Updated 2 years ago
- PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)☆47Updated 2 years ago
- ☆95Updated 7 years ago
- ☆28Updated 3 years ago
- Replication of the paper "Structured Neural Summarization" which uses Graph Neural Networks and Seq2Seq models to summarize natural langu…☆21Updated 5 years ago
- ☆19Updated 6 years ago
- Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019☆100Updated 5 years ago
- Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.☆239Updated 5 years ago
- A repository with the code for the paper with the same title☆74Updated 5 years ago
- Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"☆54Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"☆109Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆72Updated 2 years ago
- Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"☆46Updated 7 years ago
- Code to reproduce the experiments in the paper Open Vocabulary Learning on Source Code with a Graph-Structured Cache☆21Updated 5 years ago
- FastGCN for inductive text classification☆85Updated 5 years ago
- Learning to query complex networks☆116Updated 8 months ago