On the public citation graph
In-Memory Graph Databases for Web-Scale Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-04329-1_16openalex-snapshot
SP2Bench: A SPARQL Performance Benchmark
inferredcites →https://doi.org/10.1109/ipdps.2014.117openalex-snapshot
Scaling Irregular Applications through Data Aggregation and Software Multithreading
inferredcites →https://doi.org/10.1145/321921.321925openalex-snapshot
An Algorithm for Subgraph Isomorphism
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.02.004openalex-snapshot
Granite : A distributed engine for scalable path queries over temporal property graphs
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116416openalex-snapshot
DIVCOM: Adaptive graph division for scalable detection of overlapping communities
inferred← citeshttps://doi.org/10.1109/access.2016.2631549openalex-snapshot
Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2018.00071openalex-snapshot
SHAD: The Scalable High-Performance Algorithms and Data-Structures Library
inferred← citeshttps://doi.org/10.1109/iccad.2015.7372587openalex-snapshot
High level synthesis of RDF queries for graph analytics
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.216openalex-snapshot
GraQL: A Query Language for High-Performance Attributed Graph Databases
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.70openalex-snapshot
High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00107openalex-snapshot
A NUMA-aware Graph Database for Hybrid Memory System
inferred← citeshttps://doi.org/10.1109/ldav.2015.7348072openalex-snapshot
A visual analytics paradigm enabling trillion-edge graph exploration
inferred← citeshttps://doi.org/10.1109/tc.2021.3057860openalex-snapshot
Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics
inferred← citeshttps://doi.org/10.1137/1.9781611974348.83openalex-snapshot
Scaling Lifted Probabilistic Inference and Learning Via Graph Databases
inferred← citeshttps://doi.org/10.1145/2966986.2967030openalex-snapshot
Efficient synthesis of graph methods
inferred← citeshttps://doi.org/10.1145/2968456.2976764openalex-snapshot
Enabling the high level synthesis of data analytics accelerators
inferred← citeshttps://doi.org/10.1145/3287624.3288754openalex-snapshot
Software defined architectures for data analytics
inferred← citeshttps://doi.org/10.1145/3310273.3323052openalex-snapshot
Parallel edge-based sampling for static and dynamic graphs
inferred← citeshttps://doi.org/10.1145/3434391openalex-snapshot
Scalable Pattern Matching in Metadata Graphs via Constraint Checking
inferred← citeshttps://doi.org/10.1145/3695794.3695811openalex-snapshot
Programming the Future: the Essential Role of System Topology Awareness in Heterogeneous Disaggregated Environments
inferred← citeshttps://doi.org/10.23919/date.2019.8715196openalex-snapshot
A Parallel Graph Environment for Real-World Data Analytics Workflows
inferred← citeshttps://doi.org/10.3233/apc200097openalex-snapshot
Parallel Totally Induced Edge Sampling on FPGAs1
inferred← citeshttps://doi.org/10.3929/ethz-b-000504426openalex-snapshot
The Future is Big Graphs! A Community View on Graph Processing Systems
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