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43 search results found

Alink ⭐ 3,479

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Pytextrank ⭐ 2,092

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Graph Adversarial Learning Literature ⭐ 772

A curated list of adversarial attacks and defenses papers on graph-structured data.

Littleballoffur ⭐ 651

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Cxxgraph ⭐ 361

Header-Only C++ Library for Graph Representation and Algorithms

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Graph Data Science Client ⭐ 148

A Python client for the Neo4j Graph Data Science (GDS) library

Sparkling Graph ⭐ 134

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

Lynxkite ⭐ 132

The complete graph data science platform

Gcnn_keras ⭐ 94

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

An Unsupervised Graph-based Toolbox for Fraud Detection

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Graph Pattern Learner ⭐ 71

Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.

Bipartite-network link prediction in Python

Ngcf Pytorch ⭐ 57

PyTorch Implementation for Neural Graph Collaborative Filtering

Dgfraud Tf2 ⭐ 57

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Graphml Class ⭐ 50

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

Pgx Samples ⭐ 45

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp

Threatreportextractor ⭐ 44

Extracting Attack Behavior from Threat Reports

Synthetic ⭐ 37

Symbolic Generators for Complex Networks

Trickster ⭐ 29

Library and experiments for attacking machine learning in discrete domains

Malnet Graph ⭐ 27

A large-scale database for graph representation learning

Friends Recommender In Social Network ⭐ 21

Friends Recommendation and Link Prediction in Social Netowork

Poprithms ⭐ 20

Graph algorithms for machine learning frameworks

Graph Env ⭐ 20

Reinforcement learning for combinatorial optimization over directed graphs

Optimisation Python ⭐ 18

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

A Python library for knowledge graph representation learning (graph embedding).

Orgainzed Digital Intelligent Network (O.D.I.N)

Dynamic programming algorithms for exact linear clustering in networks.

Jgtextrank ⭐ 10

jgtextrank: Yet another Python implementation of TextRank

Graph_ml ⭐ 10

Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.

Graph Based Clustering ⭐ 9

Graph-Based Clustering using connected components and spanning trees.

Code for all the projects I create.

Primary repo at https://gitlab.com/yhtang/graphdot

Adaptive Template Model ⭐ 8

Adaptive Template Model of Intelligence

Treewidth Prediction ⭐ 8

Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.

Nsl Ra Training ⭐ 7

Research Assistant Trainee, Next Solution lab

A very simple library for exploiting graph-of-words in NLP

Data and code for Salesforce Research paper, GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning - https://arxiv.org/abs/2012.03900 . The paper provides methods for constraint graph augmentation and optimal facility placement problems

Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms

Graph Matching ⭐ 5

🎓 Graph Matching Algorithm

Causal_twitter_modeling_covid19 ⭐ 5

Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.

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