Pinned Repositories
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
benchmarking-gnns
Repository for benchmarking graph neural networks
benedekrozemberczki-awesome-graph-classification
BiteHack
booking-challenge
CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
elixir_aoc2021
Graph-Neural-Networks-in-Computer-Vision---Architectures-Datasets-and-Common-Approaches
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches
GraphTransformers
Sandbox to analysis and benchmarking Graph Transformer Neural Networks
mkrzywda's Repositories
mkrzywda/GraphTransformers
Sandbox to analysis and benchmarking Graph Transformer Neural Networks
mkrzywda/CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
mkrzywda/elixir_aoc2021
mkrzywda/Graph-Neural-Networks-in-Computer-Vision---Architectures-Datasets-and-Common-Approaches
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches
mkrzywda/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
mkrzywda/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
mkrzywda/benchmarking-gnns
Repository for benchmarking graph neural networks
mkrzywda/booking-challenge
mkrzywda/cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
mkrzywda/DGCluster
mkrzywda/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
mkrzywda/elixir_aoc2020
mkrzywda/elixir_aoc2022
mkrzywda/evotorch
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
mkrzywda/GeneticAlgorithmsInElixir
A take on the book "Genetic Algorithms in Elixir"
mkrzywda/Graph-MLP
mkrzywda/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
mkrzywda/Hypergraph-Tutorial
mkrzywda/keras-deep-graph-learning
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
mkrzywda/mkrzywda
mkrzywda/NAS-With-Code
Neural Architecture Search (NAS) papers with code
mkrzywda/NASLib-tutorial
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
mkrzywda/NeuralArchitectureSearchCollection
mkrzywda/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
mkrzywda/PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
mkrzywda/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
mkrzywda/rust-raspberrypi-OS-tutorials
:books: Learn to write an embedded OS in Rust :crab:
mkrzywda/sphinx_iowmd_theme
Material Design Html Theme for Sphinx.
mkrzywda/Transformers-Recipe
🧠A quick recipe to learn all about Transformers
mkrzywda/tutorial_TDA