Výsledky vyhledávání - Mathematics of computing-Graph algorithms*

GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph Autor Liu, Wei, Yu, Ailun, Zan, Daoguang, Shen, Bo, Zhang, Wei, Zhao, Haiyan, Jin, Zhi, Wang, Qianxiang

“…The performance of repository-level code completion depends upon the effective leverage of both general and repository-specific knowledge. Despite the…”
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Metro Maps on Octilinear Grid Graphs Autor Bast, Hannah, Brosi, Patrick, Storandt, Sabine

“…Schematic transit maps (often called “metro maps” in the literature) are important to produce comprehensible visualizations of complex public transit networks…”
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The Logic of Graph Neural Networks Autor Grohe, Martin

“…Graph neural networks (GNNs) are deep learning architectures for machine learning problems on graphs. It has recently been shown that the expressiveness of…”
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Lovász-Type Theorems and Game Comonads Autor Dawar, Anuj, Jakl, Tomas, Reggio, Luca

“…Lovász (1967) showed that two finite relational structures A and B are isomorphic if, and only if, the number of homomorphisms from C to A is the same as the…”
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Local Higher-Order Graph Clustering Autor Yin, Hao, Benson, Austin R, Leskovec, Jure, Gleich, David F

“…Local graph clustering methods aim to find a cluster of nodes by exploring a small region of the graph. These methods are attractive because they enable…”
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Graph Representation Learning for Microarchitecture Design Space Exploration Autor Yi, Xiaoling, Lu, Jialin, Xiong, Xiankui, Xu, Dong, Shang, Li, Yang, Fan

“…Design optimization of modern microprocessors is a complex task due to the exponential growth of the design space. This work presents GRL-DSE, an automatic…”
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Clone detection in automotive model-based development Autor Deissenboeck, F., Hummel, B., Jurgens, E., Schatz, B., Wagner, S., Girard, J.-F., Teuchert, S.

“…Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code…”
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GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs Autor Jiang, Nan, Yue, Hengshan, Tan, Jingweijia, Zhou, Mengting, Wang, Xiaonan, Wang, Yuchun, Wei, Wenda, Qiu, Meikang, Wei, Xiaohui

“…As graph tasks become pervasive in real-time and safetycritical domains (e.g., financial fraud detection and electrical power systems), it is also essential to…”
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PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration Autor Yang, Tao, Li, Dongyue, Han, Yibo, Zhao, Yilong, Liu, Fangxin, Liang, Xiaoyao, He, Zhezhi, Jiang, Li

“…Graph Convolutional Network (GCN) is a promising but computing- and memory-intensive learning model. Processing-in-memory (PIM) architecture based on the ReRAM…”
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TurboBC: A Memory Efficient and Scalable GPU Based Betweenness Centrality Algorithm in the Language of Linear Algebra Autor Artiles, Oswaldo, Saeed, Fahad

“…Betweenness centrality (BC) is a shortest path centrality metric used to measure the influence of individual vertices or edges on huge graphs that are used for…”
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Re-imaginig the Networks: Detecting Local Communities in Networks by Approximating Derivatives in Graph Space Autor Rigi, M. Amin, Moser, Irene, Rigi, Seddigh, Liu, Chengfei

“…Finding communities in networks has become very important because various social and physical complex systems are represented as networks. Because of their…”
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iG-kway: Incremental k-way Graph Partitioning on GPU Autor Lee, Wan Luan, Jiang, Shui, Lin, Dian-Lun, Chang, Che, Zhang, Boyang, Chung, Yi-Hua, Schlichtmann, Ulf, Ho, Tsung-Yi, Huang, Tsung-Wei

“…Recent advances in GPU-accelerated graph partitioning have achieved significant performance gains but remain limited to full graph partitioning, lacking…”
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A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State Autor Ren, Xiangyu, Huang, Yuexun, Liang, Zhiding, Barbalace, Antonio

“…Quantum graph states are critical resources for various quantum algorithms, and also determine essential interconnections in distributed quantum computing…”
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HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering Autor Aghdaei, Ali, Feng, Zhuo

“…This paper introduces a scalable algorithmic framework (HyperEF) for spectral coarsening (decomposition) of large-scale hypergraphs by exploiting hyperedge…”
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GPart: A GNN-Enabled Multilevel Graph Partitioner Autor Chen, Magi, Wang, Ting-Chi

“…This paper introduces GPart, a scalable multilevel framework for graph partitioning that integrates GNN embeddings with efficient coarsening and refinement…”
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BlasPart: A Deterministic Parallel Partitioner for Balanced Large-Scale Hypergraph Partitioning Autor Tong, Shengbo, Pei, Chunyan, Yu, Wenjian

“…Balanced hypergraph partitioning is a fundamental problem in applications like VLSI design, high-performance computing, etc. Nowadays, large-scale hypergraphs…”
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LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing Autor Zhang, Lingling, Wu, Yijian, Jiang, Hong, Zhou, Ziyu, Lu, Tiancheng

“…Dynamic graph processing systems using conventional array-based architectures face significant throughput limitations due to inefficient memory access and…”
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Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs Autor Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

“…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt…”
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EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks Autor Jin, Wentian, Chen, Liang, Sadiqbatcha, Sheriff, Peng, Shaoyi, Tan, Sheldon X.-D.

“…Electromigration (EM) becomes a major concern for VLSI circuits as the technology advances in the nanometer regime. With Korhonen equations, EM assessment for…”
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An effective GPU implementation of breadth-first search Autor Lijuan Luo, Wong, Martin, Wen-mei Hwu

“…Breadth-first search (BFS) has wide applications in electronic design automation (EDA) as well as in other fields. Researchers have tried to accelerate BFS on…”
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