CoderPat / OpenGNNLinks
Open source machine learning for graph-structured data
☆30Updated 6 years ago
Alternatives and similar repositories for OpenGNN
Users that are interested in OpenGNN are comparing it to the libraries listed below
Sorting:
- Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"☆55Updated 5 years ago
- ☆28Updated 3 years ago
- ☆19Updated 3 years ago
- Replication of the paper "Structured Neural Summarization" which uses Graph Neural Networks and Seq2Seq models to summarize natural langu…☆21Updated 6 years ago
- Code for Paper Abstract Writing through Editing Mechanism☆73Updated 4 years ago
- Code and data for ACL20 paper "Incorporating External Knowledge through Pre-training for Natural Language to Code Generation"☆97Updated 3 months ago
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆123Updated 5 years ago
- ☆34Updated 7 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆44Updated 5 years ago
- Baseline for the Conala: Code/Natural Language Challenge☆61Updated 4 years ago
- ACL 2018: Dating Documents using Graph Convolution Networks☆59Updated 2 years ago
- Max-Margin Markov Graph Models for WordNet (EMNLP 2018)☆41Updated 5 years ago
- Tag-enhanced Tree-Structured NN for discourse relation classification.☆23Updated 8 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Unsupervised Learning of Transferable Relational Graphs☆69Updated 6 years ago
- NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection☆101Updated 7 years ago
- Experiments of ACL 2018 paper box embeddings☆31Updated 7 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆54Updated 3 years ago
- ☆49Updated 7 years ago
- Tree-LSTM + Self-Structured Attention -- a method to summarize textual data by topics☆10Updated 7 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago
- Data and code for SemEval 2019, Task 10: Math Question Answering☆48Updated 7 years ago
- A simple Pytorch implementation of Gated Graph Neural Networks☆59Updated 7 years ago
- Analogical inference for knowledge graph completion☆72Updated 8 years ago
- Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)☆112Updated 6 years ago
- Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation☆59Updated 7 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 6 years ago
- Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)☆78Updated 4 years ago
- A PyTorch Implementation of FastFusionNet on SQuAD 1.1☆39Updated 6 years ago
- A repository with the code for the paper with the same title☆73Updated 6 years ago