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2010.00130
Cited By
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
30 September 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
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Papers citing
"Computing Graph Neural Networks: A Survey from Algorithms to Accelerators"
50 / 81 papers shown
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Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
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Deal: Distributed End-to-End GNN Inference for All Nodes
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GNN Applied to Ego-nets for Friend Suggestions
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A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference
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Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
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High Performance Unstructured SpMM Computation Using Tensor Cores
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Torsten Hoefler
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From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
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Francesco Mauro
Francesca De Falco
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Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
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Jie Sun
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Zeke Wang
Yonggang Wen
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Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
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Kunhao Li
Shaojie Wang
Zhaohong Jia
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Sharad Mehrotra
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A review of graph neural network applications in mechanics-related domains
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Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
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34
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Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
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42
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Jithin Jagannath
37
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Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
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CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
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41
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Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
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Zhiyuan Lu
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Javier Duarte
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FedGTA: Topology-aware Averaging for Federated Graph Learning
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MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
Hongwu Peng
Xi Xie
Kaustubh Shivdikar
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Shaoyi Huang
Omer Khan
David Kaeli
Caiwen Ding
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JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication
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Thomas B. Rolinger
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Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
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Natalia Efremova
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Architectural Implications of GNN Aggregation Programming Abstractions
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STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
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Quan Chen
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34
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A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
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GHOST: A Graph Neural Network Accelerator using Silicon Photonics
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Torsion Graph Neural Networks
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