Temporal GNN Lightweight Framework

links to conference publications in graph-based deep learning

ABC: System for Sequential Logic Synthesis and Formal Verification

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Light-weight graph framework based on coroutines.

Race detector for NVIDIA GPUs, published in SOSP 2021.

Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs (2024 arxiv)

[AAAI 2023] An official source code for paper Cluster-guided Contrastive Graph Clustering Network.

A lightweight library for portable low-level GPU computation using WebGPU.

cuGraph - RAPIDS Graph Analytics Library

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

A pattern-based algorithmic autotuner for graph processing on GPUs.

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

Accelerating Maximal Biclique Enumeration on GPUs arxiv'24

IMPACT GPU Algorithms Teaching Labs

Source codes for TLPGNN paper published at HPDC'22

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

A collection of min-cut/max-flow algorithms.

CUDA Templates for Linear Algebra Subroutines

CUDA Library Samples

Implementation of the maximum network flow problem in CUDA.

[WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"

[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

Automatically exported from code.google.com/p/rstm

Trust: Triangle Counting Reloaded on GPUs

DATE'23: A Decentralized Frontier Queue for Improving Scalability of Breadth-First-Search on GPUs

Xplace 2.0: An Extremely Fast, Extensible and Deterministic Placement Framework with Detailed-Routability Optimization

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