Search Results - Mathematics of computing-Graph algorithms

Metro Maps on Octilinear Grid Graphs by 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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GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph by 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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Target set selection with maximum activation time by Keiler, Lucas, Lima, Carlos V.G.C., Maia, Ana Karolinna, Sampaio, Rudini, Sau, Ignasi

“…A target set selection model is a graph G with a threshold function τ : V → N upper-bounded by the vertex degree. For a given model, a set S0 ⊆ V (G) is a…”
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General Variable Neighborhood Search for computing graph separators by Sánchez-Oro, Jesús, Mladenović, Nenad, Duarte, Abraham

“…Computing graph separators in networks has a wide range of real-world applications…”
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PyGTED: Python Application for Computing Graph Traversal Edit Distance by Ebrahimpour Boroojeny, Ali, Shrestha, Akash, Sharifi-Zarchi, Ali, Gallagher, Suzanne Renick, Sahinalp, Süleyman Cenk, Chitsaz, Hamidreza

“… The kernel paradigm beautifully decouples the learning algorithm from the underlying geometric space, which renders graph kernels important for the aforementioned applications…”
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The Logic of Graph Neural Networks by Grohe, Martin

“… It has recently been shown that the expressiveness of GNNs can be characterised precisely by the combinatorial Weisfeiler-Leman algorithms and by finite variable counting logics…”
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Lovász-Type Theorems and Game Comonads by 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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When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities by Paulovich, F. V., Arleo, A., van den Elzen, S.

“…In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual…”
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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. These methods are attractive because they enable…”
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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

“…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 by 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 by 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 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. 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 by Artiles, Oswaldo, Saeed, Fahad

“… The application of the BC algorithm to modern graphs must deal with the size of the graphs, as well with highly irregular data-access patterns…”
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Re-imaginig the Networks: Detecting Local Communities in Networks by Approximating Derivatives in Graph Space by 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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Computing graph invariants on rotagraphs using dynamic algorithm approach: the case of (2,1)-colorings and independence numbers by Klavžar, Sandi, Vesel, Aleksander

“…Rotagraphs generalize all standard products of graphs in which one factor is a cycle. A computer-based approach for searching graph invariants on rotagraphs is…”
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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…”
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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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HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering by Aghdaei, Ali, Feng, Zhuo

“… few inter-cluster hyperedges. The key component in HyperEF is a nearly-linear time algorithm for estimating hyperedge effective resistances, which allows incorporating the latest diffusion-based non-linear quadratic operators defined on hypergraphs…”
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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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