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RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network

https://doi.org/10.1145/3617685
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-02094-0_9openalex-snapshot
Traffic Networks and Flows over Time
inferredcites →https://doi.org/10.1007/978-981-15-8135-9_6openalex-snapshot
GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks
inferredcites →https://doi.org/10.1007/s10489-021-02518-9openalex-snapshot
GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
inferredcites →https://doi.org/10.1007/s11432-018-9450-8openalex-snapshot
Graph partitions and the controllability of directed signed networks
inferredcites →https://doi.org/10.1007/s11432-020-3102-9openalex-snapshot
Learning hyperspectral images from RGB images via a coarse-to-fine CNN
inferredcites →https://doi.org/10.1016/j.cell.2020.01.021openalex-snapshot
A Deep Learning Approach to Antibiotic Discovery
inferredcites →https://doi.org/10.1016/j.patcog.2019.107000openalex-snapshot
Dynamic graph convolutional networks
inferredcites →https://doi.org/10.1109/iiswc.2005.1525988openalex-snapshot
Proceedings of the 2005 IEEE International Symposium on Workload Characterization
inferredcites →https://doi.org/10.1109/infocom.2019.8737631openalex-snapshot
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
inferredcites →https://doi.org/10.1109/lca.2015.2414456openalex-snapshot
Ramulator: A Fast and Extensible DRAM Simulator
inferredcites →https://doi.org/10.1109/lca.2021.3090954openalex-snapshot
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
inferredcites →https://doi.org/10.1109/micro.1996openalex-snapshot
Proceedings of the 29th Annual IEEE/ACM International Symposium on Microarchitecture. MICRO 29
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/10.1137/1.9781611976236openalex-snapshot
Proceedings of the 2020 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1145/2168836.2168846openalex-snapshot
Kineograph
inferredcites →https://doi.org/10.1145/2540708.2540733openalex-snapshot
Insertion and promotion for tree-based PseudoLRU last-level caches
inferredcites →https://doi.org/10.1145/3055167openalex-snapshot
Proceedings of the 2017 ACM International Conference on Management of Data
inferredcites →https://doi.org/10.1145/3123939openalex-snapshot
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture
inferredcites →https://doi.org/10.1145/3195970openalex-snapshot
Proceedings of the 55th Annual Design Automation Conference
inferredcites →https://doi.org/10.1145/3307650openalex-snapshot
Proceedings of the 46th International Symposium on Computer Architecture
inferredcites →https://doi.org/10.1145/3458817openalex-snapshot
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
inferredcites →https://doi.org/10.1145/3466752.3480096openalex-snapshot
Improving Streaming Graph Processing Performance using Input Knowledge
inferredcites →https://doi.org/10.1145/3466752.3480113openalex-snapshot
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
inferredcites →https://doi.org/10.1145/3466752.3480126openalex-snapshot
JetStream: Graph Analytics on Streaming Data with Event-Driven Hardware Accelerator
inferredcites →https://doi.org/10.1145/3470496.3527409openalex-snapshot
TDGraph
inferredcites →https://doi.org/10.1145/3489517openalex-snapshot
Proceedings of the 59th ACM/IEEE Design Automation Conference
inferredcites →https://doi.org/10.1145/3490422openalex-snapshot
Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
inferredcites →https://doi.org/10.14778/3352063.3352127openalex-snapshot
AliGraph
inferredcites →https://doi.org/10.14778/3529337.3529342openalex-snapshot
TGL
inferredcites →https://doi.org/10.1504/ijguc.2016.077491openalex-snapshot
DynamoGraph: extending the Pregel paradigm for large-scale temporal graph processing
inferredcites →https://doi.org/10.1609/aaai.v34i04.5984openalex-snapshot
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
inferredcites →https://doi.org/10.48550/arxiv.1905.11485openalex-snapshot
Representation Learning for Dynamic Graphs: A Survey

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.knosys.2024.112786openalex-snapshot
NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00074openalex-snapshot
Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00081openalex-snapshot
I-DGNN: A Graph Dissimilarity-based Framework for Designing Scalable and Efficient DGNN Accelerators
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00031openalex-snapshot
Hyperion: Co-Optimizing SSD Access and GPU Computation for Cost-Efficient GNN Training
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00014openalex-snapshot
DS-GL: Advancing Graph Learning via Harnessing Nature’s Power within Scalable Dynamical Systems
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00185openalex-snapshot
TAGT: An Efficient Graph Transformer Accelerator with Topology-aware Sparsification and Merging
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00094openalex-snapshot
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network
inferred← citeshttps://doi.org/10.1109/tpds.2025.3532089openalex-snapshot
Survey on Characterizing and Understanding GNNs From a Computer Architecture Perspective
inferred← citeshttps://doi.org/10.1109/tpds.2026.3685513openalex-snapshot
Bal-DGCN: A Hardware Acceleration Framework for Balanced Computational Efficiency in DGCNs
inferred← citeshttps://doi.org/10.1145/3695053.3731017openalex-snapshot
DiTile-DGNN: An Efficient Accelerator for Distributed Dynamic Graph Neural Network Inference
inferred← citeshttps://doi.org/10.1145/3712285.3759818openalex-snapshot
TaGNN: An Efficient Topology-aware Accelerator for High-performance Dynamic Graph Neural Network
inferred← citeshttps://doi.org/10.1360/ssi-2024-0282openalex-snapshot
An efficient high throughput system of hypergraph neural network under CPU-GPU heterogeneous environments
inferred← citeshttps://doi.org/10.23919/date64628.2025.10992726openalex-snapshot
A High-Performance and Flexible Accelerator for Dynamic Graph Convolutional Networks
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