dfdazac

wassdistance

Approximating Wasserstein distances with PyTorch

dgi

TensorFlow implementation of Deep Graph Infomax

blp

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

vaesbd

Variational Autoencoder with Spatial Broadcast Decoder

mpqe

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

grapes

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

monet

Object representation learning

modgraph

Unsupervised learning on graphs

studious-rotary-phone

A collection of notebooks on AI and some artifacts

gnn-benchmark

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

machine-learning-1

Code and notebooks on machine learning

KGReasoning

Multi-Hop Logical Reasoning in Knowledge Graphs

Query-Answering-In-Knowledge-Space

Query Answering In Knowledge Space

slotgan

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

as-gcn

autocoo

Automated Clinical Outcome Ontology

calm-capybara

Comparing different Neural NLP models for Emoji Prediction.

cnn-sentiment

Sentiment classification with CNNs

CompactBilinearPooling-Pytorch

A Pytorch Implementation of Compact Bilinear Pooling.

dfdazac.github.io

My website

dlvu-a5

gradcam-test

Testing Grad-CAM on some examples

graph_query_sampler

Implementation of graph query sampling

ideal-bassoon

information-theory

machine-learning-2

Code and notebooks on machine learning

nb2page

A rough and ready script to blog with Python notebooks a bit faster

StarQE

Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"

transform

Input pipeline framework

ull

Unsupervised Language Learning