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Andrew Carl's Projects

graph_comb_opt icon graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

grapher icon grapher

Python utility for monitoring graphs of many jobs running in sequence.

graphify icon graphify

Graphify is a Neo4j unmanaged extension used for document and text classification using graph-based hierarchical pattern recognition.

graphistician icon graphistician

Generative random network models and Bayesian inference algorithms

graphite icon graphite

Code for Graphite iterative graph generation

graphlab icon graphlab

Machine Learning Applications with GraphLab

graphnn icon graphnn

Training computational graph on top of structured data (string, graph, etc)

graphquestions icon graphquestions

A characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16

graphrole icon graphrole

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphslam icon graphslam

A Python Implementation of Sebastian's GraphSLAM Algorithm as described in Probabilistic Robotics (textbook)

graphslam3d icon graphslam3d

Attempt to Implement GraphSlam as articulated in Girogio Grisetti's Paper "A Tutorial on Graph-Based Slam"

graphtransformer icon graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

graphvite icon graphvite

GraphVite: A General and High-performance Graph Embedding System

graphwavemachine icon graphwavemachine

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

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