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Big Graph Analytics Platforms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jpdc.1997.1404openalex-snapshot
Multilevelk-way Partitioning Scheme for Irregular Graphs
inferredcites →https://doi.org/10.1007/11533719_72openalex-snapshot
New Streaming Algorithms for Counting Triangles in Graphs
inferredcites →https://doi.org/10.1007/978-0-387-88146-1openalex-snapshot
Statistical Analysis of Network Data: Methods and Models
inferredcites →https://doi.org/10.1007/978-3-540-87481-2_3openalex-snapshot
Effective Pruning Techniques for Mining Quasi-Cliques
inferredcites →https://doi.org/10.1007/978-3-642-24206-9_11openalex-snapshot
Dyna: Extending Datalog for Modern AI
inferredcites →https://doi.org/10.1007/978-3-642-40131-2_1openalex-snapshot
An Analytics-Aware Conceptual Model for Evolving Graphs
inferredcites →https://doi.org/10.1007/bf02289026openalex-snapshot
A New Status Index Derived from Sociometric Analysis
inferredcites →https://doi.org/10.1007/s00453-010-9401-5openalex-snapshot
On Dynamic Shortest Paths Problems
inferredcites →https://doi.org/10.1007/s00778-012-0299-1openalex-snapshot
Extending the power of datalog recursion
inferredcites →https://doi.org/10.1007/s00778-015-0405-2openalex-snapshot
NScale: neighborhood-centric large-scale graph analytics in the cloud
inferredcites →https://doi.org/10.1007/s10619-014-7140-3openalex-snapshot
The G* graph database: efficiently managing large distributed dynamic graphs
inferredcites →https://doi.org/10.1016/0196-6774(82)90013-xopenalex-snapshot
An O(n2log n) parallel max-flow algorithm
inferredcites →https://doi.org/10.1016/0743-1066(87)90004-5openalex-snapshot
A generalization of the differential approach to recursive query evaluation
inferredcites →https://doi.org/10.1016/j.tcs.2005.09.013openalex-snapshot
On graph problems in a semi-streaming model
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1103/physreve.84.016105openalex-snapshot
Path lengths, correlations, and centrality in temporal networks
inferredcites →https://doi.org/10.1109/asonam.2010.17openalex-snapshot
Tracking the Evolution of Communities in Dynamic Social Networks
inferredcites →https://doi.org/10.1109/asonam.2012.254openalex-snapshot
Using Pregel-like Large Scale Graph Processing Frameworks for Social Network Analysis
inferredcites →https://doi.org/10.1109/icde.2009.132openalex-snapshot
Continuous Subgraph Pattern Search over Graph Streams
inferredcites →https://doi.org/10.1109/icde.2010.5447738openalex-snapshot
Hive - a petabyte scale data warehouse using Hadoop
inferredcites →https://doi.org/10.1109/icde.2011.5767921openalex-snapshot
Hyracks: A flexible and extensible foundation for data-intensive computing
inferredcites →https://doi.org/10.1109/icde.2011.5767930openalex-snapshot
SystemML: Declarative machine learning on MapReduce
inferredcites →https://doi.org/10.1109/icde.2012.12openalex-snapshot
Scalable and Numerically Stable Descriptive Statistics in SystemML
inferredcites →https://doi.org/10.1109/icde.2012.26openalex-snapshot
Lookup Tables: Fine-Grained Partitioning for Distributed Databases
inferredcites →https://doi.org/10.1109/icde.2013.6544815openalex-snapshot
Scalable maximum clique computation using MapReduce
inferredcites →https://doi.org/10.1109/icde.2013.6544832openalex-snapshot
SociaLite: Datalog extensions for efficient social network analysis
inferredcites →https://doi.org/10.1109/icde.2013.6544855openalex-snapshot
Catch the Wind: Graph workload balancing on cloud
inferredcites →https://doi.org/10.1109/icde.2013.6544892openalex-snapshot
Efficient snapshot retrieval over historical graph data
inferredcites →https://doi.org/10.1109/icde.2014.6816681openalex-snapshot
Continuous pattern detection over billion-edge graph using distributed framework
inferredcites →https://doi.org/10.1109/icde.2015.7113298openalex-snapshot
LLAMA: Efficient graph analytics using Large Multiversioned Arrays
inferredcites →https://doi.org/10.1109/icde.2015.7113340openalex-snapshot
Optimizing recursive queries with monotonic aggregates in DeALS
inferredcites →https://doi.org/10.1109/icde.2015.7113362openalex-snapshot
VENUS: Vertex-centric streamlined graph computation on a single PC
inferredcites →https://doi.org/10.1109/icde.2015.7113363openalex-snapshot
Dynamic interaction graphs with probabilistic edge decay
inferredcites →https://doi.org/10.1109/icdm.2009.14openalex-snapshot
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
inferredcites →https://doi.org/10.1109/ipdps.2014.49openalex-snapshot
How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis
inferredcites →https://doi.org/10.1109/tkde.2013.2297930openalex-snapshot
Disk-Based Management of Interaction Graphs
inferredcites →https://doi.org/10.1109/tkde.2014.2327037openalex-snapshot
PAGE: A Partition Aware Engine for Parallel Graph Computation
inferredcites →https://doi.org/10.1109/tpds.2013.111openalex-snapshot
Medusa: Simplified Graph Processing on GPUs
inferredcites →https://doi.org/10.1109/tpds.2013.235openalex-snapshot
Maiter: An Asynchronous Graph Processing Framework for Delta-Based Accumulative Iterative Computation
inferredcites →https://doi.org/10.1109/tvcg.2013.238openalex-snapshot
A Task Taxonomy for Network Evolution Analysis
inferredcites →https://doi.org/10.1137/1.9780898719918openalex-snapshot
Graph Algorithms in the Language of Linear Algebra
inferredcites →https://doi.org/10.1145/1013367.1013519openalex-snapshot
On the temporal dimension of search
inferredcites →https://doi.org/10.1145/1150402.1150462openalex-snapshot
A framework for analysis of dynamic social networks
inferredcites →https://doi.org/10.1145/1401890.1401898openalex-snapshot
Efficient semi-streaming algorithms for local triangle counting in massive graphs
inferredcites →https://doi.org/10.1145/152610.152611openalex-snapshot
Query evaluation techniques for large databases
inferredcites →https://doi.org/10.1145/16856.16859openalex-snapshot
An amateur's introduction to recursive query processing strategies
inferredcites →https://doi.org/10.1145/1739041.1739095openalex-snapshot
An execution environment for C-SPARQL queries
inferredcites →https://doi.org/10.1145/1830252.1830263openalex-snapshot
Design patterns for efficient graph algorithms in MapReduce
inferredcites →https://doi.org/10.1145/1963405.1963491openalex-snapshot
Counting triangles and the curse of the last reducer
inferredcites →https://doi.org/10.1145/2020408.2020457openalex-snapshot
Applying data mining techniques to address disaster information management challenges on mobile devices
inferredcites →https://doi.org/10.1145/2213836.2213854openalex-snapshot
Managing large dynamic graphs efficiently
inferredcites →https://doi.org/10.1145/2339530.2339722openalex-snapshot
Streaming graph partitioning for large distributed graphs
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/2544137.2544162openalex-snapshot
Simplifying Scalable Graph Processing with a Domain-Specific Language
inferredcites →https://doi.org/10.1145/2618243.2618282openalex-snapshot
Efficient temporal shortest path queries on evolving social graphs
inferredcites →https://doi.org/10.1145/2688500.2688508openalex-snapshot
SYNC or ASYNC: time to fuse for distributed graph-parallel computation
inferredcites →https://doi.org/10.1145/2723372.2749432openalex-snapshot
Resource Elasticity for Large-Scale Machine Learning
inferredcites →https://doi.org/10.1145/275487.275492openalex-snapshot
An overview of query optimization in relational systems
inferredcites →https://doi.org/10.1145/28659.28662openalex-snapshot
Sets and negation in a logic data base language (LDL1)
inferredcites →https://doi.org/10.1145/568522.568525openalex-snapshot
A survey of rollback-recovery protocols in message-passing systems
inferredcites →https://doi.org/10.1145/6012.15399openalex-snapshot
Magic sets and other strange ways to implement logic programs (extended abstract)
inferredcites →https://doi.org/10.1184/r1/6475898openalex-snapshot
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
inferredcites →https://doi.org/10.1184/r1/6605999openalex-snapshot
GraphChi: Large-Scale Graph Computation on Just a PC
inferredcites →https://doi.org/10.14778/1920841.1920964openalex-snapshot
On dense pattern mining in graph streams
inferredcites →https://doi.org/10.14778/2311906.2311907openalex-snapshot
Efficient subgraph matching on billion node graphs
inferredcites →https://doi.org/10.14778/2350229.2350245openalex-snapshot
Spinning fast iterative data flows
inferredcites →https://doi.org/10.14778/2556549.2556581openalex-snapshot
Fast iterative graph computation with block updates
inferredcites →https://doi.org/10.14778/2732232.2732238openalex-snapshot
From "think like a vertex" to "think like a graph"
inferredcites →https://doi.org/10.14778/2732286.2732292openalex-snapshot
Hybrid parallelization strategies for large-scale machine learning in SystemML
inferredcites →https://doi.org/10.14778/2732286.2732294openalex-snapshot
Optimizing graph algorithms on pregel-like systems
inferredcites →https://doi.org/10.14778/2732977.2732980openalex-snapshot
An experimental comparison of pregel-like graph processing systems
inferredcites →https://doi.org/10.14778/2733004.2733013openalex-snapshot
Large-scale graph analytics in Aster 6
inferredcites →https://doi.org/10.14778/2733085.2733089openalex-snapshot
Pregel algorithms for graph connectivity problems with performance guarantees
inferredcites →https://doi.org/10.14778/2735496.2735504openalex-snapshot
Event pattern matching over graph streams
inferredcites →https://doi.org/10.14778/2735496.2735506openalex-snapshot
Fast failure recovery in distributed graph processing systems
inferredcites →https://doi.org/10.14778/2735508.2735517openalex-snapshot
Large-scale distributed graph computing systems
inferredcites →https://doi.org/10.14778/2824032.2824052openalex-snapshot
Asynchronous and fault-tolerant recursive datalog evaluation in shared-nothing engines
inferredcites →https://doi.org/10.14778/2904483.2904488openalex-snapshot
A general-purpose query-centric framework for querying big graphs
inferredcites →https://doi.org/10.14778/2994509.2994515openalex-snapshot
Compressed linear algebra for large-scale machine learning
inferredcites →https://doi.org/10.14778/3402707.3402713openalex-snapshot
On querying historical evolving graph sequences
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.4230/lipics.snapl.2015.63openalex-snapshot
Yedalog: Exploring Knowledge at Scale
inferredcites →https://doi.org/10.48550/arxiv.1006.2880openalex-snapshot
Fast Incremental and Personalized PageRank
inferredcites →https://doi.org/10.48550/arxiv.1006.4990openalex-snapshot
GraphLab: A New Framework for Parallel Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1111.7167openalex-snapshot
gSketch: On Query Estimation in Graph Streams
inferredcites →https://doi.org/10.48550/arxiv.1407.0455openalex-snapshot
Pregelix: Big(ger) Graph Analytics on A Dataflow Engine
inferredcites →https://doi.org/10.48550/arxiv.1408.0500openalex-snapshot
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
inferredcites →https://doi.org/10.48550/arxiv.1412.5263openalex-snapshot
Graph Analytics using the Vertica Relational Database
inferredcites →https://doi.org/10.48550/arxiv.1509.08960openalex-snapshot
Storing and Analyzing Historical Graph Data at Scale
inferredcites →https://doi.org/10.48550/arxiv.1601.05590openalex-snapshot
Efficient Processing of Very Large Graphs in a Small Cluster
inferredcites →https://doi.org/10.48550/arxiv.1601.06496openalex-snapshot
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing
inferredcites →https://doi.org/10.48550/arxiv.1606.06450openalex-snapshot
Limited Random Walk Algorithm for Big Graph Data Clustering
inferredcites →https://doi.org/10.5555/1070432.1070537openalex-snapshot
Graph distances in the streaming model: the value of space
inferredcites →https://doi.org/10.5555/2387880.2387883openalex-snapshot
PowerGraph: distributed graph-parallel computation on natural graphs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.7419openalex-snapshot
Improving the efficiency of graph algorithm executions on high‐performance computing
inferred← citeshttps://doi.org/10.1007/978-3-030-14177-6_2openalex-snapshot
Multi-model Database Management Systems - A Look Forward
inferred← citeshttps://doi.org/10.1007/978-3-030-33223-5_40openalex-snapshot
Parallel Clique-Like Subgraph Counting and Listing
inferred← citeshttps://doi.org/10.1007/978-3-319-58217-7_4openalex-snapshot
Shared Memory Abstraction
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_272-1openalex-snapshot
Parallel Graph Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_272-2openalex-snapshot
Parallel Graph Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_344-1openalex-snapshot
Think-Like-a-Task Programming Model
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_272openalex-snapshot
Parallel Graph Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-96655-7_4openalex-snapshot
Historical Graphs: Models, Storage, Processing
inferred← citeshttps://doi.org/10.1007/s00778-021-00688-zopenalex-snapshot
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing
inferred← citeshttps://doi.org/10.1007/s00778-021-00712-2openalex-snapshot
Parallel mining of large maximal quasi-cliques
inferred← citeshttps://doi.org/10.1007/s11265-020-01595-2openalex-snapshot
Visualization Analysis of Knowledge Network Research Based on Mapping Knowledge
inferred← citeshttps://doi.org/10.1007/s11432-020-2952-7openalex-snapshot
Graph algorithms: parallelization and scalability
inferred← citeshttps://doi.org/10.1007/s11704-018-6400-1openalex-snapshot
A communication-reduced and computation-balanced framework for fast graph computation
inferred← citeshttps://doi.org/10.1016/j.future.2018.04.067openalex-snapshot
Profiling distributed graph processing systems through visual analytics
inferred← citeshttps://doi.org/10.1017/s0956796821000277openalex-snapshot
Fregel: a functional domain-specific language for vertex-centric large-scale graph processing
inferred← citeshttps://doi.org/10.1080/10447318.2022.2073007openalex-snapshot
Interactive Visual Exploration of Big Relational Datasets
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006290openalex-snapshot
A Modern Approach to Big Provenance
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825522openalex-snapshot
MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta
inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240912openalex-snapshot
ScanNow: A Scan Window-Based Sparse Matrix Multiplication Accelerator Design
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00024openalex-snapshot
Kaskade: Graph Views for Efficient Graph Analytics
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00122openalex-snapshot
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00082openalex-snapshot
Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00022openalex-snapshot
Efficient Multi-GPU Graph Processing with Remote Work Stealing
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00142openalex-snapshot
Accelerating k-Core Decomposition by a GPU
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00238openalex-snapshot
Graphix: “One User's JSON is Another User's Graph”
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00245openalex-snapshot
G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486361openalex-snapshot
A Hierarchical Synchronous Parallel Model for Wide-Area Graph Analytics
inferred← citeshttps://doi.org/10.1109/ipdps.2019.00053openalex-snapshot
Composing Optimization Techniques for Vertex-Centric Graph Processing via Communication Channels
inferred← citeshttps://doi.org/10.1109/pdp52278.2021.00033openalex-snapshot
Boosting Graph Analytics by Tuning Threads and Data Affinity on NUMA Systems
inferred← citeshttps://doi.org/10.1109/tkde.2019.2950620openalex-snapshot
SQL-G: Efficient Graph Analytics by SQL
inferred← citeshttps://doi.org/10.1109/tkde.2021.3101057openalex-snapshot
ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing
inferred← citeshttps://doi.org/10.1109/tkde.2025.3537964openalex-snapshot
G-ThinkerQ: A General Subgraph Querying System With a Unified Task-Based Programming Model
inferred← citeshttps://doi.org/10.1109/tnet.2020.3020813openalex-snapshot
TopoX: Topology Refactorization for Minimizing Network Communication in Graph Computations
inferred← citeshttps://doi.org/10.1109/tpds.2017.2743708openalex-snapshot
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit
inferred← citeshttps://doi.org/10.1109/tpds.2018.2875084openalex-snapshot
Using High-Bandwidth Networks Efficiently for Fast Graph Computation
inferred← citeshttps://doi.org/10.1145/3035918.3035942openalex-snapshot
Parallelizing Sequential Graph Computations
inferred← citeshttps://doi.org/10.1145/3183713.3196918openalex-snapshot
Adaptive Asynchronous Parallelization of Graph Algorithms
inferred← citeshttps://doi.org/10.1145/3210259.3210261openalex-snapshot
In situ graph querying and analytics with graphgen
inferred← citeshttps://doi.org/10.1145/3210377.3210414openalex-snapshot
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
inferred← citeshttps://doi.org/10.1145/3276491openalex-snapshot
GraphIt: a high-performance graph DSL
inferred← citeshttps://doi.org/10.1145/3277006.3277011openalex-snapshot
From Think Parallel to Think Sequential
inferred← citeshttps://doi.org/10.1145/3282488openalex-snapshot
Parallelizing Sequential Graph Computations
inferred← citeshttps://doi.org/10.1145/3293883.3295716openalex-snapshot
A pattern based algorithmic autotuner for graph processing on GPUs
inferred← citeshttps://doi.org/10.1145/3314221.3314598openalex-snapshot
Low-latency graph streaming using compressed purely-functional trees
inferred← citeshttps://doi.org/10.1145/3332466.3374527openalex-snapshot
Practical parallel hypergraph algorithms
inferred← citeshttps://doi.org/10.1145/3397491openalex-snapshot
Adaptive Asynchronous Parallelization of Graph Algorithms
inferred← citeshttps://doi.org/10.1145/3398682.3399168openalex-snapshot
The Graph Based Benchmark Suite (GBBS)
inferred← citeshttps://doi.org/10.1145/3434393openalex-snapshot
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
inferred← citeshttps://doi.org/10.1145/3448016.3457253openalex-snapshot
Cache-Efficient Fork-Processing Patterns on Large Graphs
inferred← citeshttps://doi.org/10.1145/3448016.3457314openalex-snapshot
Vertex-centric Parallel Computation of SQL Queries
inferred← citeshttps://doi.org/10.1145/3477602openalex-snapshot
Handling Iterations in Distributed Dataflow Systems
inferred← citeshttps://doi.org/10.1145/3626246.3658369openalex-snapshot
The Future of Graph Analytics
inferred← citeshttps://doi.org/10.1145/3627673.3679101openalex-snapshot
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
inferred← citeshttps://doi.org/10.1145/3639315openalex-snapshot
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction
inferred← citeshttps://doi.org/10.1145/3696410.3714741openalex-snapshot
GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training
inferred← citeshttps://doi.org/10.1145/3698833openalex-snapshot
Automating Vectorized Distributed Graph Computation
inferred← citeshttps://doi.org/10.1145/3709665openalex-snapshot
BⓈ X : Subgraph Matching with Batch Backtracking Search
inferred← citeshttps://doi.org/10.1145/3721145.3725740openalex-snapshot
YH-Light: Yielding Hierarchy-aware Partitioner for Large-scale Graph Processing
inferred← citeshttps://doi.org/10.1145/3749159openalex-snapshot
BEE: Towards Redundancy Reduction via Block-Separator Decomposition for Subgraph Matching
inferred← citeshttps://doi.org/10.1145/3754598.3754637openalex-snapshot
CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression
inferred← citeshttps://doi.org/10.1145/3802022openalex-snapshot
Beyond Maximum Common Subgraph: A Framework Maximizing Shared Computation for Multi-Query Subgraph Matching
inferred← citeshttps://doi.org/10.1145/3810900.3810904openalex-snapshot
One Graph, Many Sources: Automating Vectorization Safely
inferred← citeshttps://doi.org/10.14778/3424573.3424579openalex-snapshot
Parallel graph algorithms in constant adaptive rounds
inferred← citeshttps://doi.org/10.14778/3447689.3447708openalex-snapshot
Teseo and the analysis of structural dynamic graphs
inferred← citeshttps://doi.org/10.14778/3749646.3749662openalex-snapshot
Accelerating Subgraph Matching through Fine-Grained and Powerful Equivalences
inferred← citeshttps://doi.org/10.14778/3750601.3750695openalex-snapshot
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
inferred← citeshttps://doi.org/10.2200/s00895ed1v01y201901dtm057openalex-snapshot
Data Management in Machine Learning Systems
inferred← citeshttps://doi.org/10.3390/a18070445openalex-snapshot
Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/s18114020openalex-snapshot
Detecting Incremental Frequent Subgraph Patterns in IoT Environments
inferred← citeshttps://doi.org/10.48550/arxiv.1709.03110openalex-snapshot
G-thinker: Big Graph Mining Made Easier and Faster
inferred← citeshttps://doi.org/10.48550/arxiv.1805.00923openalex-snapshot
GraphIt: A High-Performance DSL for Graph Analytics
inferred← citeshttps://doi.org/10.48550/arxiv.1910.12310openalex-snapshot
Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs
inferred← citeshttps://doi.org/10.48550/arxiv.2003.00680openalex-snapshot
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System
inferred← citeshttps://doi.org/10.48550/arxiv.2005.12873openalex-snapshot
Benchmarking Graph Data Management and Processing Systems: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2009.11552openalex-snapshot
Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice
inferred← citeshttps://doi.org/10.5753/sbbd.2026.249208openalex-snapshot
A systematic review of graph query language operators for graph analytics
inferred← citeshttps://doi.org/10.5753/wscad.2021.18518openalex-snapshot
Aumentando a Eficiência na Execução de Algoritmos de Grafos em HPC
inferred← citeshttps://doi.org/10.70675/24cfd0f4zaa30z4382z92c0ze696126ad6f0openalex-snapshot
Parallel and distributed algorithms for pattern matching in big graphs
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