This is your work, valued

Amsterdam, Netherlands

Daniel Daza

Advanced
@dfdazac

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

dfdazac.github.io/

wassdistance. Approximating Wasserstein distances with PyTorch

457

blp. "Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

64

dgi. TensorFlow implementation of Deep Graph Infomax

62

vaesbd. Variational Autoencoder with Spatial Broadcast Decoder

35

mpqe. "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning

15

grapes. Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".

13

monet. Object representation learning

10

modgraph. Unsupervised learning on graphs

9

studious-rotary-phone. A collection of notebooks on AI and some artifacts

8

gnn-benchmark. Framework for evaluating Graph Neural Network models on semi-supervised node classification task

7

machine-learning-1. Code and notebooks on machine learning

3

nqr. Query Answering with Soft Entity Constraints

3

exigraph. Shell

3

KGReasoning. Multi-Hop Logical Reasoning in Knowledge Graphs

1

slotgan. "SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning" @ ACL SPNLP 2022

1

lmkg. Language Models 🔗 Knowledge Graphs

1

Query-Answering-In-Knowledge-Space. Query Answering In Knowledge Space

1