IBM / Graph2SeqLinks
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
☆242Updated 6 years ago
Alternatives and similar repositories for Graph2Seq
Users that are interested in Graph2Seq are comparing it to the libraries listed below
Sorting:
- Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"☆190Updated last year
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆124Updated 4 years ago
- Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]☆140Updated 4 years ago
- This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"☆110Updated 6 years ago
- ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks☆291Updated 2 years ago
- Bachelor degree research on heterogeneous information network alignment.☆31Updated 5 years ago
- A list of latest research papers on graph-bert☆47Updated 4 years ago
- Learning to query complex networks☆117Updated last year
- Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"☆125Updated 3 years ago
- Graph Star Net☆110Updated last year
- Hybrid Multi-Aspect Alignment Networks☆36Updated 4 years ago
- Heterogeneous Graph Transformer for Graph-to-Sequence Learning☆48Updated 4 years ago
- ☆61Updated 4 years ago
- Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)☆374Updated 5 years ago
- Source code of Graph-Bert☆500Updated 2 years ago
- ☆126Updated last year
- [ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"☆180Updated last year
- A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)☆144Updated 4 years ago
- Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"☆110Updated 7 years ago
- Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)☆274Updated 5 years ago
- Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.☆136Updated 5 years ago
- Semi-supervised User Geolocation via Graph Convolutional Networks☆67Updated 4 years ago
- Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py☆152Updated 6 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆263Updated 4 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 3 years ago
- Collaborative Policy Learning for Open Knowledge Graph Reasoning (EMNLP 2019)☆57Updated last year
- Gated Graph Sequential Neural Networks in PyTorch. Easy to read and understand.☆16Updated 5 years ago
- Text Level Graph Neural Network for Text Classification☆47Updated 4 years ago
- Meandering In Networks of Entities to Reach Verisimilar Answers☆317Updated 6 years ago
- Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)☆82Updated 3 years ago