Trending repositories for topic graph-algorithms
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
:boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
:boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Popular computer science books (PDF) with highlighting :) add yours now
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Popular computer science books (PDF) with highlighting :) add yours now
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequen...
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of ver...
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
Header-Only C++ Library for Graph Representation and Algorithms
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython,...
Comprehensive guide to Algorithms and Data Structures created by me to practice important concepts for technical interviews.
GraphSharp is a tool to study and use knowledge of graph theory in C#!
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequen...
数据结构大全，从最基础的线性数据结构到树形数据结构，再到图论，排序算法，都有完整的实现。目前比较完整的是java的代码，后面会陆续完善c++、c、python、golang版本
Exact and approximate solvers for minimum-cost-flow problems in bi-directed graphs.
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
A golang generic graph library that provides mathematical graph-theory and algorithms.
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
A reading list for deep graph learning acceleration.
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
AlgoPlus is a C++17 library for complex data structures and algorithms
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
AlgoPlus is a C++17 library for complex data structures and algorithms
Header-Only C++ Library for Graph Representation and Algorithms
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
GAL-DAWN: An Novel High performance computing Library of Graph Algorithms based on DAWN, CUDA/C++
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
GraphSharp is a tool to study and use knowledge of graph theory in C#!
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
Accompanying repository for my book about Graph Data Science
Simulation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing"
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
A golang generic graph library that provides mathematical graph-theory and algorithms.
数据结构大全，从最基础的线性数据结构到树形数据结构，再到图论，排序算法，都有完整的实现。目前比较完整的是java的代码，后面会陆续完善c++、c、python、golang版本
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequen...
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Visio is an AI-powered IDE concept that turns software development into a visual, code-free experience, making programming accessible to everyone.
