Pinned Repositories
agefromname
Predict age and gender from a first name
awesome-text-summarization
A curated list of resources dedicated to text summarization
CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
GLUE
Graph-linked unified embedding for single-cell multi-omics data integration
GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Graph2Seq
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
graph4nlp_literature
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
katia-m0's Repositories
katia-m0/agefromname
Predict age and gender from a first name
katia-m0/awesome-text-summarization
A curated list of resources dedicated to text summarization
katia-m0/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
katia-m0/complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
katia-m0/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
katia-m0/GLUE
Graph-linked unified embedding for single-cell multi-omics data integration
katia-m0/GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
katia-m0/Graph2Seq
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
katia-m0/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
katia-m0/graph4nlp_literature
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
katia-m0/HypE
Implementation of Knowledge Hypergraphs: Prediction Beyond Binary Relations
katia-m0/katia-m0
Config files for my GitHub profile.
katia-m0/kg-reeval
ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods
katia-m0/lazynlp
Library to scrape and clean web pages to create massive datasets.
katia-m0/medtype
MedType: Improving Medical Entity Linking with Semantic Type Prediction
katia-m0/NUSCCF
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
katia-m0/open-semantic-etl
Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database
katia-m0/OpenBioLink
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
katia-m0/RelNN
RelNN is a novel first-order deep neural model for relational learning.
katia-m0/scattertext
Beautiful visualizations of how language differs among document types.
katia-m0/textract
extract text from any document. no muss. no fuss.
katia-m0/vor-knowledge-graph
:mortar_board: Open knowledge mining and graph builder
katia-m0/WordGCN
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks