A vector index built on TurboQuant, written in Rust with Python bindings

End-to-End Local-First Text-to-SQL Pipelines

Code for the master's thesis "Optimizing text-to-SQL generation in large language models"

A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge…

A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

[NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Pytorch Implementation of RGCN Link Prediction Model

KaHIP -- HIGH Quality Partitioning.

Graph edge partitioning algorithms

Implementations of Embedding-based methods for Knowledge Base Completion tasks

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Keras-based implementation of Relational Graph Convolutional Networks

KDD 2019 hands-on tutorial

Hyperbolic Graph Convolutional Networks in PyTorch.

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Aho Corasick string matching in python