Pinned Repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
benchmarking-gnns
Repository for benchmarking graph neural networks
DEEP-LEARNIG-COURSE
DEEP LEARNING COURSE
Explore_GCN
Explore Graph Convolutional Networks
kmeans-clustering-on-graph-dataset-using-Netwokx
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
victordaniel's Repositories
victordaniel/DEEP-LEARNIG-COURSE
DEEP LEARNING COURSE
victordaniel/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
victordaniel/Abhishek_Kumar
Online Social Network Analysis
victordaniel/awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
victordaniel/Awesome-Literature-ILoGs
Awesome literature on imbalanced learning on graphs
victordaniel/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
victordaniel/d1
victordaniel/DataWrangling-and-Visualization-
victordaniel/demo1
victordaniel/Demo_practice
This is a demo practice repository
victordaniel/deo_remote
victordaniel/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
victordaniel/DWV
victordaniel/edge-detection
victordaniel/Final_subgraph_paperII
victordaniel/GIT-Workshop
victordaniel/GNN-FakeNews
A collection of GNN-based fake news detection models.
victordaniel/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
victordaniel/pandas-2.0
Collection of useful machine learning codes and snippets (originally intended for my personal use)
victordaniel/Pycharm-scripts
victordaniel/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
victordaniel/pymongo
victordaniel/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
victordaniel/pytorch_geometric
Graph Neural Network Library for PyTorch
victordaniel/PytorchGeometricTutorial
Pytorch Geometric Tutorials
victordaniel/readme
victordaniel/subgrpahpaper
victordaniel/task2
victordaniel/task3
victordaniel/victordaniel
Config files for my GitHub profile.