On the public citation graph
Rabbit Order: Just-in-Time Parallel Reordering for Fast Graph Analysis
0 signed · 137 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-6170-8_23openalex-snapshot
Benchmarking for Graph Clustering and Partitioning
inferredcites →https://doi.org/10.1007/978-3-642-20149-3_40openalex-snapshot
Social Based Layouts for the Increase of Locality in Graph Operations
inferredcites →https://doi.org/10.1016/j.parco.2008.12.006openalex-snapshot
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1103/physreve.69.026113openalex-snapshot
Finding and evaluating community structure in networks
inferredcites →https://doi.org/10.1103/physreve.76.036106openalex-snapshot
Near linear time algorithm to detect community structures in large-scale networks
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/ipdps.2012.81openalex-snapshot
Multithreaded Clustering for Multi-level Hypergraph Partitioning
inferredcites →https://doi.org/10.1109/ipdps.2013.50openalex-snapshot
Multi-threaded Graph Partitioning
inferredcites →https://doi.org/10.1109/sc.2012.81openalex-snapshot
NUMA-aware graph mining techniques for performance and energy efficiency
inferredcites →https://doi.org/10.1109/sc.2014.80openalex-snapshot
Parallelization of Reordering Algorithms for Bandwidth and Wavefront Reduction
inferredcites →https://doi.org/10.1109/sequen.1997.666900openalex-snapshot
On the resemblance and containment of documents
inferredcites →https://doi.org/10.1109/tkde.2014.2320716openalex-snapshot
SlashBurn: Graph Compression and Mining beyond Caveman Communities
inferredcites →https://doi.org/10.1137/040607551openalex-snapshot
A Reordering for the PageRank Problem
inferredcites →https://doi.org/10.1137/0710032openalex-snapshot
Nested Dissection of a Regular Finite Element Mesh
inferredcites →https://doi.org/10.1137/100813956openalex-snapshot
Hypergraph Partitioning Based Models and Methods for Exploiting Cache Locality in Sparse Matrix-Vector Multiplication
inferredcites →https://doi.org/10.1142/s0129626407002843openalex-snapshot
CHALLENGES IN PARALLEL GRAPH PROCESSING
inferredcites →https://doi.org/10.1145/1014052.1014135openalex-snapshot
Automatic multimedia cross-modal correlation discovery
inferredcites →https://doi.org/10.1145/1183401.1183444openalex-snapshot
Accelerating sparse matrix computations via data compression
inferredcites →https://doi.org/10.1145/1557019.1557049openalex-snapshot
On compressing social networks
inferredcites →https://doi.org/10.1145/1772690.1772751openalex-snapshot
What is Twitter, a social network or a news media?
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/331532.331562openalex-snapshot
Improving performance of sparse matrix-vector multiplication
inferredcites →https://doi.org/10.1145/800195.805928openalex-snapshot
Reducing the bandwidth of sparse symmetric matrices
inferredcites →https://doi.org/10.1609/aaai.v27i1.8455openalex-snapshot
Fast Algorithm for Modularity-Based Graph Clustering
inferredcites →https://doi.org/10.2172/15013116openalex-snapshot
Object-oriented algorithmic laboratory for ordering sparse matrices
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.1408.2041openalex-snapshot
GraphLab: A New Framework For Parallel Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.cs/0310049openalex-snapshot
An O(m) Algorithm for Cores Decomposition of Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-98809-2_2openalex-snapshot
ScaleSCAN: Scalable Density-Based Graph Clustering
inferred← citeshttps://doi.org/10.1007/s11390-023-2939-xopenalex-snapshot
Skyway: Accelerate Graph Applications with a Dual-Path Architecture and Fine-Grained Data Management
inferred← citeshttps://doi.org/10.1007/s11432-020-3248-yopenalex-snapshot
Towards efficient allocation of graph convolutional networks on hybrid computation-in-memory architecture
inferred← citeshttps://doi.org/10.1007/s11704-020-0255-yopenalex-snapshot
An efficient memory data organization strategy for application-characteristic graph processing
inferred← citeshttps://doi.org/10.1109/access.2023.3237738openalex-snapshot
Cache-Efficient Approach for Index-Free Personalized PageRank
inferred← citeshttps://doi.org/10.1109/access.2023.3269793openalex-snapshot
Accelerating Parallel Applications Based on Graph Reordering for Random Network Topologies
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386309openalex-snapshot
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets
inferred← citeshttps://doi.org/10.1109/cluster.2018.00044openalex-snapshot
A Scalable Distributed Louvain Algorithm for Large-Scale Graph Community Detection
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132411openalex-snapshot
Anchor First, Accelerate Next: Revolutionizing GNNs with PIM by Harnessing Stationary Data
inferred← citeshttps://doi.org/10.1109/fpl57034.2022.00040openalex-snapshot
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
inferred← citeshttps://doi.org/10.1109/hpca47549.2020.00028openalex-snapshot
Domain-Specialized Cache Management for Graph Analytics
inferred← citeshttps://doi.org/10.1109/hpca53966.2022.00041openalex-snapshot
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
inferred← citeshttps://doi.org/10.1109/hpca57654.2024.00081openalex-snapshot
HotTiles: Accelerating SpMM with Heterogeneous Accelerator Architectures
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00072openalex-snapshot
NOVA: A Novel Vertex Management Architecture for Scalable Graph Processing
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00007openalex-snapshot
Structure Preserved Graph Reordering for Fast Graph Processing Without the Pain
inferred← citeshttps://doi.org/10.1109/hpec55821.2022.9926290openalex-snapshot
Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model
inferred← citeshttps://doi.org/10.1109/hpec55821.2022.9926340openalex-snapshot
Explicit Ordering Refinement for Accelerating Irregular Graph Analysis
inferred← citeshttps://doi.org/10.1109/iccad57390.2023.10323722openalex-snapshot
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
inferred← citeshttps://doi.org/10.1109/iccsec.2017.8446842openalex-snapshot
Efficient Incremental Pagerank of Evolving Graphs on GPU
inferred← citeshttps://doi.org/10.1109/icdcs54860.2022.00020openalex-snapshot
EndGraph: An Efficient Distributed Graph Preprocessing System
inferred← citeshttps://doi.org/10.1109/icdcs60910.2024.00016openalex-snapshot
Mega: More Efficient Graph Attention for GNNs
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00193openalex-snapshot
Fast Iterative Graph Computing with Updated Neighbor States
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00247openalex-snapshot
Accelerating Biclique Counting on GPU
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00258openalex-snapshot
FrontOrder: Frontier-Guided Graph Reordering
inferred← citeshttps://doi.org/10.1109/icfpt56656.2022.9974504openalex-snapshot
CAPI-Precis: Towards a Compute-Centric Interface for Coherent Shared Memory Accelerators
inferred← citeshttps://doi.org/10.1109/iiswc.2018.8573478openalex-snapshot
When is Graph Reordering an Optimization? Studying the Effect of Lightweight Graph Reordering Across Applications and Input Graphs
inferred← citeshttps://doi.org/10.1109/iiswc47752.2019.9041948openalex-snapshot
A Closer Look at Lightweight Graph Reordering
inferred← citeshttps://doi.org/10.1109/iiswc50251.2020.00031openalex-snapshot
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation
inferred← citeshttps://doi.org/10.1109/iiswc53511.2021.00020openalex-snapshot
Locality Analysis of Graph Reordering Algorithms
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534303openalex-snapshot
Optimizing Data Locality and Termination Criterion for t-SNE
inferred← citeshttps://doi.org/10.1109/ipdps49936.2021.00080openalex-snapshot
Speculative Parallel Reverse Cuthill-McKee Reordering on Multi- and Many-core Architectures
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00010openalex-snapshot
PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00096openalex-snapshot
Practically Tackling Memory Bottlenecks of Graph-Processing Workloads
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00088openalex-snapshot
Rebo: Locality-Aware Graph Processing via Reordering and Blocking
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00105openalex-snapshot
ECG: Expressing Locality and Prefetching for Optimal Caching in Graph Structures
inferred← citeshttps://doi.org/10.1109/iscc50000.2020.9219604openalex-snapshot
Cache Efficient Louvain with Local RCM
inferred← citeshttps://doi.org/10.1109/islped65674.2025.11261766openalex-snapshot
AridWalk: Efficient Graph Random Walks on a Resource-Limited Computational Storage Device
inferred← citeshttps://doi.org/10.1109/ispass51385.2021.00023openalex-snapshot
How Do Graph Relabeling Algorithms Improve Memory Locality?
inferred← citeshttps://doi.org/10.1109/ispass57527.2023.00029openalex-snapshot
Community-based Matrix Reordering for Sparse Linear Algebra Optimization
inferred← citeshttps://doi.org/10.1109/micro.2018.00010openalex-snapshot
Exploiting Locality in Graph Analytics through Hardware-Accelerated Traversal Scheduling
inferred← citeshttps://doi.org/10.1109/newcas64543.2026.11673972openalex-snapshot
Graph Canonization for Efficient Pattern Reuse in ReRAM-Based Graph Accelerators
inferred← citeshttps://doi.org/10.1109/sc.2018.00061openalex-snapshot
iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00075openalex-snapshot
EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00090openalex-snapshot
Speeding Up SpMV for Power-Law Graph Analytics by Enhancing Locality & Vectorization
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00107openalex-snapshot
Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku
inferred← citeshttps://doi.org/10.1109/tc.2025.3558042openalex-snapshot
DCGG: A Dynamically Adaptive and Hardware-Software Coordinated Runtime System for GNN Acceleration on GPUs
inferred← citeshttps://doi.org/10.1109/tcad.2022.3198320openalex-snapshot
GCIM: Toward Efficient Processing of Graph Convolutional Networks in 3D-Stacked Memory
inferred← citeshttps://doi.org/10.1109/tcad.2022.3232467openalex-snapshot
A Unified Engine for Accelerating GNN Weighting/Aggregation Operations, With Efficient Load Balancing and Graph-Specific Caching
inferred← citeshttps://doi.org/10.1109/tcad.2023.3291672openalex-snapshot
SCV-GNN: Sparse Compressed Vector-Based Graph Neural Network Aggregation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3623928openalex-snapshot
GoGraph: Accelerating Graph Processing Through Incremental Reordering
inferred← citeshttps://doi.org/10.1109/tpds.2020.3002150openalex-snapshot
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning
inferred← citeshttps://doi.org/10.1109/tpds.2020.3038376openalex-snapshot
Boosting Parallel Influence-Maximization Kernels for Undirected Networks With Fusing and Vectorization
inferred← citeshttps://doi.org/10.1109/tpds.2021.3105323openalex-snapshot
Workload Balancing via Graph Reordering on Multicore Systems
inferred← citeshttps://doi.org/10.1109/tpds.2022.3205642openalex-snapshot
Accelerating Backward Aggregation in GCN Training With Execution Path Preparing on GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2026.3732293openalex-snapshot
I/O-Efficient Graph Analytics on SSD via Activity-Aware Preprocessing
inferred← citeshttps://doi.org/10.1109/tpds.2026.3734005openalex-snapshot
UltraGNN: A Sparse-Operator-Aware Framework for Accelerating Graph Neural Networks on Tensor Cores
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3485960openalex-snapshot
Rec-PF: Data-Driven Large-Scale Deep Learning Recommendation Model Training Optimization Based on Tensor-Train Embedding Table With Photovoltaic Forecast
inferred← citeshttps://doi.org/10.1109/urgenthpc51945.2020.00008openalex-snapshot
Fast Tsunami Simulations for a Real-Time Emergency Response Flow
inferred← citeshttps://doi.org/10.1137/1.9781611976472.3openalex-snapshot
A Parallel Packed Memory Array to Store Dynamic Graphs
inferred← citeshttps://doi.org/10.1145/3132847.3132960openalex-snapshot
GPU-Accelerated Graph Clustering via Parallel Label Propagation
inferred← citeshttps://doi.org/10.1145/3225058.3225137openalex-snapshot
A Distributed Infomap Algorithm for Scalable and High-Quality Community Detection
inferred← citeshttps://doi.org/10.1145/3307681.3326609openalex-snapshot
Combining Data Duplication and Graph Reordering to Accelerate Parallel Graph Processing
inferred← citeshttps://doi.org/10.1145/3448016.3457313openalex-snapshot
Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs
inferred← citeshttps://doi.org/10.1145/3466752.3480081openalex-snapshot
Point-X: A Spatial-Locality-Aware Architecture for Energy-Efficient Graph-Based Point-Cloud Deep Learning
inferred← citeshttps://doi.org/10.1145/3466752.3480113openalex-snapshot
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
inferred← citeshttps://doi.org/10.1145/3468791.3468796openalex-snapshot
Accelerating Depth-First Traversal by Graph Ordering
inferred← citeshttps://doi.org/10.1145/3524059.3532360openalex-snapshot
Software-defined floating-point number formats and their application to graph processing
inferred← citeshttps://doi.org/10.1145/3575693.3575723openalex-snapshot
uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3579371.3589054openalex-snapshot
SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM
inferred← citeshttps://doi.org/10.1145/3580305.3599805openalex-snapshot
DGI: An Easy and Efficient Framework for GNN Model Evaluation
inferred← citeshttps://doi.org/10.1145/3588944openalex-snapshot
LightRW: FPGA Accelerated Graph Dynamic Random Walks
inferred← citeshttps://doi.org/10.1145/3597428openalex-snapshot
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey
inferred← citeshttps://doi.org/10.1145/3620665.3640426openalex-snapshot
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
inferred← citeshttps://doi.org/10.1145/3627703.3650063openalex-snapshot
WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations
inferred← citeshttps://doi.org/10.1145/3644712openalex-snapshot
TLPGNN: A Lightweight Two-level Parallelism Paradigm for Graph Neural Network Computation on Single and Multiple GPUs
inferred← citeshttps://doi.org/10.1145/3673038.3673055openalex-snapshot
Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores
inferred← citeshttps://doi.org/10.1145/3689031.3717460openalex-snapshot
Groot: Graph-Centric Row Reordering with Tree for Sparse Matrix Multiplications on Tensor Cores
inferred← citeshttps://doi.org/10.1145/3710848.3710881openalex-snapshot
Accelerating GNNs on GPU Sparse Tensor Cores through N:M Sparsity-Oriented Graph Reordering
inferred← citeshttps://doi.org/10.1145/3710848.3710888openalex-snapshot
Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
inferred← citeshttps://doi.org/10.1145/3710848.3710895openalex-snapshot
Frontier-guided Graph Reordering
inferred← citeshttps://doi.org/10.1145/3711708.3723445openalex-snapshot
HisOrder: A Historical Frontier-Aware Graph Reordering for Efficient BFS
inferred← citeshttps://doi.org/10.1145/3712285.3759885openalex-snapshot
Improving SpGEMM Performance Through Matrix-Reordering and Cluster-wise Computation
inferred← citeshttps://doi.org/10.1145/3721145.3730425openalex-snapshot
CoLa: Towards Communication-efficient Distributed Sparse Matrix-Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1145/3730586openalex-snapshot
GNNPilot: A Holistic Framework for High-Performance Graph Neural Network Computations on GPUs
inferred← citeshttps://doi.org/10.1145/3733723.3733730openalex-snapshot
Amortized Cost in Graph Reordering: Why BFS Ordering Deserves More Attention
inferred← citeshttps://doi.org/10.1145/3767110.3767136openalex-snapshot
TGN-PNM: A Near-Memory Architecture for Temporal GNN Inference on 3D-Stacked Memory
inferred← citeshttps://doi.org/10.1145/3797905.3800511openalex-snapshot
G-PathGen: An Efficient GPU-Parallel k-Critical Path Generation Algorithm
inferred← citeshttps://doi.org/10.1145/3797905.3800531openalex-snapshot
BLEST: Blazingly Efficient BFS using Tensor Cores
inferred← citeshttps://doi.org/10.1145/3808313openalex-snapshot
SparseZETA: Intelligent Auto-tuner for Designing High-Performance SpMV Programs
inferred← citeshttps://doi.org/10.1145/3832810.3832853openalex-snapshot
RSH-SpMM: A Row-Structured Hybrid Kernel for Sparse Matrix-Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1177/10943420231214532openalex-snapshot
Hypergraph-based locality-enhancing methods for graph operations in Big Data applications
inferred← citeshttps://doi.org/10.14778/3384345.3384358openalex-snapshot
Traversing large graphs on GPUs with unified memory
inferred← citeshttps://doi.org/10.14778/3705829.3705846openalex-snapshot
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
inferred← citeshttps://doi.org/10.23919/date56975.2023.10136997openalex-snapshot
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory
inferred← citeshttps://doi.org/10.3233/978-1-61499-843-3-413openalex-snapshot
Using Complex-Network Properties for Efficient Graph Analysis
inferred← citeshttps://doi.org/10.3390/s22249894openalex-snapshot
iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression
inferred← citeshttps://doi.org/10.46298/arima.1448openalex-snapshot
Social network ordering based on communities to reduce cache misses
inferred← citeshttps://doi.org/10.48550/arxiv.2011.08451openalex-snapshot
Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking
inferred← citeshttps://doi.org/10.48550/arxiv.2101.07026openalex-snapshot
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling
inferred← citeshttps://doi.org/10.48550/arxiv.2105.10554openalex-snapshot
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching
inferred← citeshttps://doi.org/10.48550/arxiv.2110.09524openalex-snapshot
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
inferred← citeshttps://doi.org/10.53829/ntr201602fa4openalex-snapshot
Advanced Processing and Analytics for Large-scale Graphs
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.