dfdazac

PhD student at VU Amsterdam and the University of Amsterdam, working on machine learning and knowledge graphs.

Amsterdam, Netherlands

Pinned Repositories

blp
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021
Language:Python57 5 66
dgi
TensorFlow implementation of Deep Graph Infomax
Language:Python63 8 19
grapes
Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".
Language:Python10 7 02
modgraph
Unsupervised learning on graphs
Language:Python8 4 00
monet
Object representation learning
Language:Jupyter Notebook10 3 00
mpqe
"Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning
Language:Python15 4 23
vaesbd
Variational Autoencoder with Spatial Broadcast Decoder
Language:Python35 4 13
wassdistance
Approximating Wasserstein distances with PyTorch
Language:Jupyter Notebook453 4 356
BioBLP
A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Language:Jupyter Notebook9 4 53
cqd
Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs
Language:Python95 8 511

dfdazac's Repositories

dfdazac/wassdistance
Approximating Wasserstein distances with PyTorch
Language:Jupyter Notebook453 4 356
dfdazac/dgi
TensorFlow implementation of Deep Graph Infomax
Language:Python63 8 19
dfdazac/blp
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021
Language:Python57 5 66
dfdazac/vaesbd
Variational Autoencoder with Spatial Broadcast Decoder
Language:Python35 4 13
dfdazac/mpqe
"Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning
Language:Python15 4 23
dfdazac/grapes
Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".
Language:Python10 7 02
dfdazac/monet
Object representation learning
Language:Jupyter Notebook10 3 00
dfdazac/modgraph
Unsupervised learning on graphs
Language:Python8 4 00
dfdazac/studious-rotary-phone
A collection of notebooks on AI and some artifacts
Language:Jupyter Notebook8 3 01
dfdazac/gnn-benchmark
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Language:Python7 5 02
dfdazac/machine-learning-1
Code and notebooks on machine learning
Language:Jupyter Notebook3 3 15
dfdazac/KGReasoning
Multi-Hop Logical Reasoning in Knowledge Graphs
Language:Python1 2 0
dfdazac/Query-Answering-In-Knowledge-Space
Query Answering In Knowledge Space
Language:Python1 3 0
dfdazac/slotgan
"SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning" @ ACL SPNLP 2022
Language:Python1 2 00
dfdazac/as-gcn
Language:Python2 0
dfdazac/autocoo
Automated Clinical Outcome Ontology
Language:Jupyter Notebook2 0
dfdazac/calm-capybara
Comparing different Neural NLP models for Emoji Prediction.
Language:Jupyter Notebook4 0
dfdazac/cnn-sentiment
Sentiment classification with CNNs
Language:Python3 02
dfdazac/CompactBilinearPooling-Pytorch
A Pytorch Implementation of Compact Bilinear Pooling.
Language:Python4 0
dfdazac/dfdazac.github.io
My website
Language:JavaScript2 0
dfdazac/dlvu-a5
3 0
dfdazac/graph_query_sampler
Implementation of graph query sampling
Language:Python0 0
dfdazac/ideal-bassoon
Language:Python3 0
dfdazac/information-theory
Language:Python3 01
dfdazac/machine-learning-2
Code and notebooks on machine learning
Language:Jupyter Notebook3 02
dfdazac/nb2page
A rough and ready script to blog with Python notebooks a bit faster
Language:Python3 2
dfdazac/StarQE
Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"
Language:Python
dfdazac/tgi-snellius
Running Text Generation Inference on Snellius
dfdazac/transform
Input pipeline framework
Language:Python3 0
dfdazac/ull
Unsupervised Language Learning
Language:TeX3 0