On the public citation graph

Network Motif Discovery: A GPU Approach

https://doi.org/10.1109/tkde.2016.2566618
0 signed · 105 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11557067_14openalex-snapshot
A Faster Algorithm for Detecting Network Motifs
inferredcites →https://doi.org/10.1007/3-540-60793-5_91openalex-snapshot
Subgraph isomorphism detection in polynomial time on preprocessed model graphs
inferredcites →https://doi.org/10.1007/978-3-540-71681-5_7openalex-snapshot
Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking
inferredcites →https://doi.org/10.1007/978-3-540-74446-7_8openalex-snapshot
An Algorithm Portfolio for the Sub-graph Isomorphism Problem
inferredcites →https://doi.org/10.1016/0022-0000(82)90009-5openalex-snapshot
Isomorphism of graphs of bounded valence can be tested in polynomial time
inferredcites →https://doi.org/10.1016/j.jpdc.2008.05.012openalex-snapshot
Fast parallel GPU-sorting using a hybrid algorithm
inferredcites →https://doi.org/10.1016/j.jpdc.2011.08.007openalex-snapshot
Parallel discovery of network motifs
inferredcites →https://doi.org/10.1016/j.jsc.2013.09.003openalex-snapshot
Practical graph isomorphism, II
inferredcites →https://doi.org/10.1016/j.tree.2006.05.013openalex-snapshot
Are network motifs the spandrels of cellular complexity?
inferredcites →https://doi.org/10.1017/s0269888912000331openalex-snapshot
A survey of frequent subgraph mining algorithms
inferredcites →https://doi.org/10.1038/ng881openalex-snapshot
Network motifs in the transcriptional regulation network of Escherichia coli
inferredcites →https://doi.org/10.1093/bioinformatics/bth163openalex-snapshot
Efficient sampling algorithm for estimating subgraph concentrations and detecting network motifs
inferredcites →https://doi.org/10.1093/bioinformatics/bth402openalex-snapshot
Conserved network motifs allow protein–protein interaction prediction
inferredcites →https://doi.org/10.1093/bioinformatics/btl038openalex-snapshot
FANMOD: a tool for fast network motif detection
inferredcites →https://doi.org/10.1093/bioinformatics/btn163openalex-snapshot
Biomolecular network motif counting and discovery by color coding
inferredcites →https://doi.org/10.1103/physreve.71.016127openalex-snapshot
Coarse-graining and self-dissimilarity of complex networks
inferredcites →https://doi.org/10.1109/bibe.2005.8openalex-snapshot
A Parallel Algorithm for Extracting Transcription Regulatory Network Motifs
inferredcites →https://doi.org/10.1109/e-science.2009.20openalex-snapshot
Strategies for Network Motifs Discovery
inferredcites →https://doi.org/10.1109/icde.2009.133openalex-snapshot
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
inferredcites →https://doi.org/10.1109/icde.2013.6544814openalex-snapshot
Enumerating subgraph instances using map-reduce
inferredcites →https://doi.org/10.1109/icde.2014.6816705openalex-snapshot
Large-scale frequent subgraph mining in MapReduce
inferredcites →https://doi.org/10.1109/icde.2015.7113337openalex-snapshot
Network motif discovery: A GPU approach
inferredcites →https://doi.org/10.1109/icdm.2002.1184038openalex-snapshot
gSpan: graph-based substructure pattern mining
inferredcites →https://doi.org/10.1109/icdm.2006.79openalex-snapshot
GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space
inferredcites →https://doi.org/10.1109/icdm.2008.109openalex-snapshot
Mining Large Networks with Subgraph Counting
inferredcites →https://doi.org/10.1109/iciap.1999.797762openalex-snapshot
Performance evaluation of the VF graph matching algorithm
inferredcites →https://doi.org/10.1109/icpp.2010.67openalex-snapshot
Subgraph Enumeration in Large Social Contact Networks Using Parallel Color Coding and Streaming
inferredcites →https://doi.org/10.1109/tcbb.2006.51openalex-snapshot
Efficient Detection of Network Motifs
inferredcites →https://doi.org/10.1109/tpami.2004.75openalex-snapshot
A (sub)graph isomorphism algorithm for matching large graphs
inferredcites →https://doi.org/10.1126/science.298.5594.824openalex-snapshot
Network Motifs: Simple Building Blocks of Complex Networks
inferredcites →https://doi.org/10.1145/1150402.1150418openalex-snapshot
NeMoFinder
inferredcites →https://doi.org/10.1145/1376616.1376662openalex-snapshot
Mining significant graph patterns by leap search
inferredcites →https://doi.org/10.1145/1565694.1565702openalex-snapshot
Frequent itemset mining on graphics processors
inferredcites →https://doi.org/10.1145/1774088.1774422openalex-snapshot
g-tries
inferredcites →https://doi.org/10.1145/1964179.1964184openalex-snapshot
Reducing branch divergence in GPU programs
inferredcites →https://doi.org/10.1145/2396761.2396805openalex-snapshot
Efficient algorithms for generalized subgraph query processing
inferredcites →https://doi.org/10.1145/2588555.2588557openalex-snapshot
Parallel subgraph listing in a large-scale graph
inferredcites →https://doi.org/10.1145/321921.321925openalex-snapshot
An Algorithm for Subgraph Isomorphism
inferredcites →https://doi.org/10.1145/800061.808746openalex-snapshot
Canonical labeling of graphs
inferredcites →https://doi.org/10.1186/1471-2105-10-318openalex-snapshot
Kavosh: a new algorithm for finding network motifs
inferredcites →https://doi.org/10.1266/ggs.84.385openalex-snapshot
MODA: An efficient algorithm for network motif discovery in biological networks
inferredcites →https://doi.org/10.1371/journal.pbio.0020369openalex-snapshot
Motifs in Brain Networks
inferredcites →https://doi.org/10.1371/journal.pone.0050093openalex-snapshot
NetMODE: Network Motif Detection without Nauty
inferredcites →https://doi.org/10.1371/journal.pone.0068073openalex-snapshot
QuateXelero: An Accelerated Exact Network Motif Detection Algorithm
inferredcites →https://doi.org/10.14778/1453856.1453899openalex-snapshot
Taming verification hardness
inferredcites →https://doi.org/10.7939/r3sx64c5kopenalex-snapshot
The Graph Isomorphism Problem

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4641405openalex-extracted
inferred← citeshttps://doi.org/10.1002/cpe.5645openalex-snapshot
Discovering multi‐dimensional motifs from multi‐dimensional time series for air pollution control
inferred← citeshttps://doi.org/10.1002/int.22980openalex-snapshot
GHOC: A generative model for hybrid‐order community detection
inferred← citeshttps://doi.org/10.1007/978-981-13-9942-8_8openalex-snapshot
Network Motifs: A Survey
inferred← citeshttps://doi.org/10.1007/s11227-017-2225-1openalex-snapshot
A survey of graph processing on graphics processing units
inferred← citeshttps://doi.org/10.1007/s13278-015-0256-2openalex-snapshot
Rand-FaSE: fast approximate subgraph census
inferred← citeshttps://doi.org/10.1016/j.cosrev.2020.100247openalex-snapshot
Big networks: A survey
inferred← citeshttps://doi.org/10.1016/j.cosrev.2020.100267openalex-snapshot
Motif discovery in networks: A survey
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107406openalex-snapshot
Motif and supernode-enhanced gated graph neural networks for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.patter.2023.100839openalex-snapshot
EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis
inferred← citeshttps://doi.org/10.1016/j.physa.2025.131096openalex-snapshot
A generalized motif-based Naïve Bayes model for sign prediction in complex networks
inferred← citeshttps://doi.org/10.1016/j.physleta.2021.127829openalex-snapshot
Extreme vulnerability of high-order organization in complex networks
inferred← citeshttps://doi.org/10.1016/j.ymeth.2019.07.008openalex-snapshot
FSM: Fast and scalable network motif discovery for exploring higher-order network organizations
inferred← citeshttps://doi.org/10.1049/iet-syb.2019.0008openalex-snapshot
Disjoint motif discovery in biological network using pattern join method
inferred← citeshttps://doi.org/10.1049/iet-syb.2020.0004openalex-snapshot
Review of tools and algorithms for network motif discovery in biological networks
inferred← citeshttps://doi.org/10.1080/10618600.2017.1391696openalex-snapshot
An Efficient Sampling Algorithm for Network Motif Detection
inferred← citeshttps://doi.org/10.1093/comnet/cnac051openalex-snapshot
BFS-based distributed algorithm for parallel local-directed subgraph enumeration
inferred← citeshttps://doi.org/10.1101/308254openalex-snapshot
Discovery of Large Disjoint Motif in Biological Network using Dynamic Expansion Tree
inferred← citeshttps://doi.org/10.1101/411520openalex-snapshot
Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks
inferred← citeshttps://doi.org/10.1109/access.2019.2908226openalex-snapshot
A Super Point Detection Algorithm Under Sliding Time Windows Based on Rough and Linear Estimators
inferred← citeshttps://doi.org/10.1109/access.2019.2960044openalex-snapshot
Motifs in Big Networks: Methods and Applications
inferred← citeshttps://doi.org/10.1109/bibm.2018.8621565openalex-snapshot
Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks
inferred← citeshttps://doi.org/10.1109/icde.2019.00125openalex-snapshot
RUM: Network Representation Learning Using Motifs
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00309openalex-snapshot
Exploiting Reuse for GPU Subgraph Enumeration (Extended Abstract)
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00247openalex-snapshot
Accelerating Biclique Counting on GPU
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00248openalex-snapshot
GPU-Accelerated Batch-Dynamic Subgraph Matching
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00225openalex-snapshot
C 2 graph: A Compression-Collaboration Algorithm for CPU-GPU Hybrid Weighted Graph Traversals
inferred← citeshttps://doi.org/10.1109/micro50266.2020.00077openalex-snapshot
A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications
inferred← citeshttps://doi.org/10.1109/mis.2020.3042871openalex-snapshot
How to Optimize an Academic Team When the Outlier Member is Leaving?
inferred← citeshttps://doi.org/10.1109/pact52795.2021.00030openalex-snapshot
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction
inferred← citeshttps://doi.org/10.1109/pact58117.2023.00022openalex-snapshot
Parallelizing Maximal Clique Enumeration on GPUs
inferred← citeshttps://doi.org/10.1109/sbac-pad55451.2022.00022openalex-snapshot
Efficient Strategies for Graph Pattern Mining Algorithms on GPUs
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00058openalex-snapshot
STMatch: Accelerating Graph Pattern Matching on GPU with Stack-Based Loop Optimizations
inferred← citeshttps://doi.org/10.1109/tcyb.2021.3125227openalex-snapshot
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks
inferred← citeshttps://doi.org/10.1109/tifs.2023.3272731openalex-snapshot
Motif-Level Anomaly Detection in Dynamic Graphs
inferred← citeshttps://doi.org/10.1109/tkde.2019.2904969openalex-snapshot
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach
inferred← citeshttps://doi.org/10.1109/tkde.2019.2940184openalex-snapshot
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
inferred← citeshttps://doi.org/10.1109/tkde.2019.2956532openalex-snapshot
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection
inferred← citeshttps://doi.org/10.1109/tkde.2020.3035564openalex-snapshot
Exploiting Reuse for GPU Subgraph Enumeration
inferred← citeshttps://doi.org/10.1109/tkde.2021.3117842openalex-snapshot
Hybrid-Order Anomaly Detection on Attributed Networks
inferred← citeshttps://doi.org/10.1109/tkde.2023.3336329openalex-snapshot
Large-Scale Graph Label Propagation on GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2025.3582996openalex-snapshot
$\text {GPUSCAN}^{++}$: Efficient Structural Graph Clustering on GPUs
inferred← citeshttps://doi.org/10.1145/3308558.3313555openalex-snapshot
Distributed Algorithms for Fully Personalized PageRank on Large Graphs
inferred← citeshttps://doi.org/10.1145/3378537openalex-snapshot
Community Detection by Motif-Aware Label Propagation
inferred← citeshttps://doi.org/10.1145/3448016.3452774openalex-snapshot
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection
inferred← citeshttps://doi.org/10.1145/3448016.3457279openalex-snapshot
Self-adaptive Graph Traversal on GPUs
inferred← citeshttps://doi.org/10.1145/3524059.3532382openalex-snapshot
Parallel K-clique counting on GPUs
inferred← citeshttps://doi.org/10.1145/3589326openalex-snapshot
Efficient GPU-Accelerated Subgraph Matching
inferred← citeshttps://doi.org/10.1145/3616855.3635788openalex-snapshot
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
inferred← citeshttps://doi.org/10.1145/3786648openalex-snapshot
Enumerating Graph Pattern Matches with ML Oracles
inferred← citeshttps://doi.org/10.1145/3802577openalex-snapshot
Accelet: Hardware-software Co-design of Chiplet-based DNN Accelerators
inferred← citeshttps://doi.org/10.1186/s12859-018-2483-9openalex-snapshot
Optimising orbit counting of arbitrary order by equation selection
inferred← citeshttps://doi.org/10.14778/3632093.3632118openalex-snapshot
MOSER: Scalable Network Motif Discovery Using Serial Test
inferred← citeshttps://doi.org/10.14778/3705829.3705856openalex-snapshot
Themis: A GPU-Accelerated Relational Query Execution Engine
inferred← citeshttps://doi.org/10.14778/3836663.3836711openalex-snapshot
Efficient GPU-Accelerated Local Subgraph Counting
inferred← citeshttps://doi.org/10.1613/jair.1.12061openalex-snapshot
Hybrid-order Network Consensus for Distributed Multi-agent Systems
inferred← citeshttps://doi.org/10.3724/bnsfc-2024.12.12.0001openalex-snapshot
Modelling Methods,Applications and Perspectives on Higher-order Relationships
inferred← citeshttps://doi.org/10.70675/24cfd0f4zaa30z4382z92c0ze696126ad6f0openalex-snapshot
Parallel and distributed algorithms for pattern matching in big graphs
inferred← citeshttps://doi.org/10.7717/peerj.6917openalex-snapshot
Application of dynamic expansion tree for finding large network motifs in biological networks
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.