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Light-weight graph framework based on coroutines.
[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.
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
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
A collection of min-cut/max-flow algorithms.
Implementation of the maximum network flow problem in CUDA.
[WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"
junxia97 / SimGRACE
Forked from mpanpan/SimGRACE[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
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
A beautiful, simple, clean, and responsive Jekyll theme for academics
Create committing rules for projects 🚀 auto bump versions ⬆️ and auto changelog generation 📂
🎃 GPU load-balancing library for regular and irregular computations.