Search Results - Graph Theory—graph algorithms

The Logic of Graph Neural Networks by Grohe, Martin

“…Graph neural networks (GNNs) are deep learning architectures for machine learning problems on graphs…”
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Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs by 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 computing-intensive algorithms on large-scale graphs…”
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BlasPart: A Deterministic Parallel Partitioner for Balanced Large-Scale Hypergraph Partitioning by Tong, Shengbo, Pei, Chunyan, Yu, Wenjian

“… Thus, fast and high-quality deterministic partitioning algorithms are largely in demand…”
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PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration by 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…”
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iG-kway: Incremental k-way Graph Partitioning on GPU by 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 support for incremental updates…”
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GPart: A GNN-Enabled Multilevel Graph Partitioner by 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 techniques…”
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The Readability of Path-Preserving Clusterings of Graphs by Archambault, Daniel, Purchase, Helen C., Pinaud, Bruno

“…Graph visualization systems often exploit opaque metanodes to reduce visual clutter and improve the readability of large graphs…”
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DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems by Song, Ruibing, Wu, Chunshu, Liu, Chuan, Li, Ang, Huang, Michael, Geng, Tony Tong

“…With the rapid digitization of the world, an increasing number of real-world applications are turning to non-Euclidean data, modeled as graphs…”
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LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing by 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 index management…”
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EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks by Jin, Wentian, Chen, Liang, Sadiqbatcha, Sheriff, Peng, Shaoyi, Tan, Sheldon X.-D.

“… VLSI multisegment interconnect trees can be naturally viewed as graphs. Based on this observation, we propose a new graph convolution network (GCN…”
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SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction by Gui, Chuangyi, Liao, Xiaofei, Zheng, Long, Yao, Pengcheng, Wang, Qinggang, Jin, Hai

“…Graph mining aims to explore interesting structural information of a graph. Pattern-centric systems typically transform a generic-purpose graph mining problem into a series of subgraph matching problems for high performance…”
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Lovász-Type Theorems and Game Comonads by Dawar, Anuj, Jakl, Tomas, Reggio, Luca

“… As special cases of this general theorem, we obtain two variants of Lovász' theorem: the result by Dvořák (2010) that characterises equivalence of graphs in the k…”
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Bioprospecting Trichoderma: A Systematic Roadmap to Screen Genomes and Natural Products for Biocontrol Applications by Rush, Tomás A., Shrestha, Him K., Gopalakrishnan Meena, Muralikrishnan, Spangler, Margaret K., Ellis, J. Christopher, Labbé, Jesse L., Abraham, Paul E.

“…Natural products derived from microbes are crucial innovations that would help in reaching sustainability development goals worldwide while achieving…”
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The neuroanatomical organization of the hypothalamus is driven by spatial and topological efficiency by Smith, Nathan R., Ameen, Shabeeb, Miller, Sierra N., Kasper, James M., Schwarz, Jennifer M., Hommel, Jonathan D., Borzou, Ahmad

“…The hypothalamus in the mammalian brain is responsible for regulating functions associated with survival and reproduction representing a complex set of highly…”
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SGIRR: Sparse Graph Index Remapping for ReRAM Crossbar Operation Unit and Power Optimization by Wang, Cheng-Yuan, Chang, Yao-Wen, Chang, Yuan-Hao

“… This paper proposes a two-stage algorithm with a crossbar OU-aware scheme for sparse graph index remapping for ReRAM (SGIRR…”
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Local Higher-Order Graph Clustering by 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…”
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Dynamic Allocation of Processor Cores to Graph Applications on Commodity Servers by Pons, Lucia, Sahuauillo, Julio, Jones, Timothy M.

“…Graph processing is increasingly adopted to solve problems that span many application domains, including scientific computing, social networks, and big-data analytics…”
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A Synchronization-Avoiding Distance-1 Grundy Coloring Algorithm for Power-Law Graphs by Firoz, Jesun Sahariar, Zalewski, Marcin, Lumsdaine, Andrew

“… We implement our DC coloring algorithm and the well-known Jones-Plassmann algorithm and compare their performance with 4 different types of standard RMAT graphs and real-world graphs…”
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A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State by 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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Graph Representation Learning for Microarchitecture Design Space Exploration by Yi, Xiaoling, Lu, Jialin, Xiong, Xiankui, Xu, Dong, Shang, Li, Yang, Fan

“… This work presents GRL-DSE, an automatic microarchitecture search framework based on graph embeddings…”
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