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aho-corasick-

Aho Corasick string matching in python

all-about-ai-residency

AI residency programs information

awesome-ai-residency

List of AI Residency Programs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

eb1a

EB1A Full Application - I-140 and I-485

edgepart

a repo for edge partitioning algorithms

gae

Implementation of Graph Auto-Encoders in TensorFlow

gat2vec

embedding attributed graphs

gemsec

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

hashtaq_embed

jfaiss-cpu

Faiss bindings for Java

kahip

KaHIP -- Karlsruhe HIGH Quality Partitioning.

kdd20-hands-on-tutorial

Scalable Graph Neural Networks with Deep Graph Library

kdd2022-tutorial

Repository of Resources for the KDD 2022 Tutorial " Efficient Machine Learning on Large-Scale Graphs"

knowledge-graphs

A collection of research on knowledge graphs

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

python-social-auth

Social auth made simple

pytorch_geometric

Graph Neural Network Library for PyTorch

scaling-up-graph-neural-networks-via-graph-coarsening

Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"

sehgnn

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

snash4.github.io

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

test

tf-stanford-tutorials

tkgc

Implementation of some of the Temporal Knowledge Graph Completion algorithms