Hands-on codes in Data Science space on Datacamp

A Python Notebook which employs Discontinuity Regression to measure the effectiveness of a bank's debt recovery strategies.

Representation learning on large graphs using stochastic graph convolutions.

A curated list of data mining papers about fraud detection.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

A collection of important graph embedding, classification and representation learning papers with implementations.

Build Graph Nets in Tensorflow

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

🤖⚡ Daily scikit-learn tips

Write code that run faster, use less memory and prepare for your Job Interview

Teaching Materials for Dr. Waleed A. Yousef

Notes on Facebook PyTorch Challenge Lessons