Graph Neural Network Inference

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Period ending 2026-09-21

3 new papers

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Period ending 2026-09-14

1 new paper

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Period ending 2026-09-07

2 new papers

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53 papers

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  1. OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design

    Sep 15, 2026Jiangrui Yu, Ye Yu, Si Chen +5Graph Neural Network InferenceHomomorphic Encryption

  2. Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge

    Sep 15, 2026Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre +2Graph Neural Network InferenceConvolutional Neural Networks

  3. Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference

    Sep 14, 2026Niklas Summ, Xiao Wang, Hendrik Borras +2Graph Neural Network InferenceNoise-Aware

  4. DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity

    Sep 10, 2026Jiaqi Ye, Xinrui Gong, Jingcun Wang +3Field-Programmable Gate ArraysGraph Neural Network Inference

  5. CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening

    Aug 11, 2026Linh Nguyen, Zhixin PanGraph Neural Network InferenceInference Workloads

  6. Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers

    Aug 4, 2026Jakob Schubert, Maximilian Kasper, Maximilian Linke +5Graph Neural Network InferenceCortex

  7. Gecko: Fast Private Inference via Secure Public Encoder Offloading

    Aug 3, 2026Cheng'an Wei, Kai Chen, Yue Zhao +2Graph Neural Network InferenceInference Engine

  8. NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory

    Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6In-Memory ComputingMixed-Precision Quantization

  9. Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing

    Jul 27, 2026Mirko Brazzini, Giulio Filippeschi, Alessandro Catania +2In-Memory ComputingGraph Neural Network Inference

  10. Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks

    Jul 23, 2026Christian Arzate Cruz, Stefanos Gkikas, Houshyar AsadiTemporal Convolutional NetworksEmotion Recognition

  11. From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory

    Jul 21, 2026Muhammad Husnain Mubarik, Karthik Mohan Kumar, Pedro Antonio Pena +2Graph Neural Network InferenceSystematic Fp16 Divergence

  12. BRIM: Workload-Balanced Dual-Sided Bit-Serial Sparse Inference Accelerator

    Jul 20, 2026Varun Manjunath, Ruokai Yin, Donghyun Lee +2Sparse Deep Neural Network AcceleratorsGraph Neural Network Inference

  13. Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

    Jul 20, 2026Shyamal Y. Dharia, Stephen D. Smith, Camilo E. ValderramaDifferentiable Logic Gate NetworksBrain-Computer Interface

  14. Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

    Jul 19, 2026Pranjal Naman, Yogesh SimmhanGraph Neural NetworksGraph Neural Network Inference

  15. ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures

    Jul 19, 2026Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa +1Graph Neural Network InferenceSparse Deep Neural Network Accelerators

  16. EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Graph Neural Network InferenceHeterogeneous Edge Devices

  17. Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space

    Jul 2, 2026Di Wu, Huan Liu, Zhixiang Chi +3Implicit Neural RepresentationsGraph Neural Network Inference

  18. TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems

    Jun 25, 2026Ngoc Bao Anh Le, Thai T. Vu, John Le +2Homomorphic EncryptionGraph Neural Networks

  19. PatchINR: Patch-Based Implicit Neural Representations for Efficient and Scalable Inference

    Jun 24, 2026Jiachen Ren, Wenyong Zhou, Taiqiang Wu +4Graph Neural Network InferenceImplicit Neural Representations

  20. Homomorphic Encryptions for Privacy Preserving Vision

    Jun 23, 2026Preey Shah, Rohan Virani, Sanjari SrivastavaHomomorphic EncryptionGraph Neural Network Inference

  21. Efficient Network Inference via Hardware-Aware Architecture Search, Model Pruning & Quantization

    Jun 22, 2026Lucas Heublein, Mark Deutel, Axel Plinge +1Graph Neural Network InferenceReal-Time Inference

  22. Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

    Jun 22, 2026Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2Graph Neural Network InferenceMixed-Precision Quantization

  23. ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors

    Jun 16, 2026Ching-Yi Lin, Shamik Kundu, Arnab Raha +1In-Memory ComputingGraph Neural Network Inference

  24. CREST: Deployment-Realistic Hardware-in-the-Loop NAS for Embedded Sensing Systems

    Jun 12, 2026Joseph Q. Zales, Pragya Sharma, Mani SrivastavaNeural Architecture SearchCortex

  25. CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon

    Jun 8, 2026Zheshun Wu, Ziyang Zhang, Changyao Lin +2Heterogeneous Edge DevicesEdge Computing

  26. Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters

    Jun 7, 2026Kohga Tanaka, Hiroaki NishiGraph Neural Network InferenceBillion-Parameter Models

  27. Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation

    Jun 2, 2026Alireza Sarmadi, Virinchi Roy Surabhi, Prashanth Krishnamurthy +3Graph Neural Network InferenceModern Deep Networks

  28. Amortized Factor Inference Networks for Posterior Inference

    May 26, 2026Joohwan Ko, Justin DomkePosteriorBayesian

  29. UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians

    May 21, 2026Soumya Sudhakar, Sertac Karaman, Vivienne SzeMonocular Depth EstimationDepth Estimation

  30. Encrypted Neural Networks without Overflows

    May 21, 2026Philipp Kern, Lorenzo Rovida, Samuel Teuber +3Homomorphic EncryptionNeural Network Verification

  31. A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers

    May 21, 2026Andrii Tyvodar, Andreas Rechberger, Dirmanto Jap +4CortexActivation Functions

  32. Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection

    May 21, 2026Štefan Kučerák, Jakub Breier, Xiaolu HouFault Injection ExperimentsGraph Neural Network Inference

  33. Decision-Aware Quadratic ReLU Replacement for HE-Friendly Inference

    May 21, 2026Rui Li, Wenyuan Wu, Weijie MiaoHomomorphic EncryptionRectified Linear Unit

  34. Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds

    May 20, 2026Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana +2Resource-Constrained Edge DevicesGraph Neural Network Inference

  35. Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm

    May 14, 2026Yuxin Guo, Yihao Yue, Yunhao Ni +4Batch NormalizationGraph Neural Network Inference

  36. MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining

    May 11, 2026Gayan K. Kulatilleke, Siamak Layeghy, Mahsa Baktashmotlagh +1Network TrafficBidirectional Mamba

  37. Split CNN Inference on Networked Microcontrollers

    May 10, 2026Junyu Lu, Shashwath Suresh, Hao Liu +2Graph Neural Network InferenceCortex

  38. AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures

    May 6, 2026Omkar B Shende, Marcello Traiola, Gayathri AnanthanarayananMixture-Of-Expert InferenceGraph Neural Network Inference

  39. Exact Dual Geometry of SOC-ICNN Value Functions

    May 6, 2026Kang Liu, Jianchen Hu, Wei PengGraph Neural Network InferenceConvex Sets

  40. Resource Utilization of Differentiable Logic Gate Networks Deployed on FPGAs

    May 4, 2026Stephen Wormald, Gilon Kravatsky, Damon Woodard +1Differentiable Logic Gate NetworksField-Programmable Gate Arrays

  41. DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

    Apr 30, 2026Ali Emre Oztas, Mahir Demir, James Garside +1Graph Neural Network InferenceNeural Processing Units

  42. Multibit neural inference in a N-ary crossbar architecture

    Apr 28, 2026Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu AraujoIn-Memory ComputingResistive Random Access Memory

  43. HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

    Apr 24, 2026Chang Sun, Zhiqiang Que, Bakhtiar Zadeh +4Graph Neural Network InferenceField-Programmable Gate Arrays

  44. Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability

    Apr 23, 2026Eleanor Wiesler, Trace BaxleyGraph Neural Network InferenceImportance

  45. Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

    Apr 20, 2026Aoran Zhang, Tianyao Wei, Maria J. Guerrero +1Complex NetworksSparsity

  46. A Sugeno Integral View of Binarized Neural Network Inference

    Apr 20, 2026Ismaïl Baaj, Henri PradeGraph Neural Network InferenceIntegral

  47. Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks

    Apr 18, 2026Nges Brian Njungle, Eric Jahns, Michel A. KinsyHomomorphic EncryptionGraph Neural Network Inference

  48. SecureRouter: Encrypted Routing for Efficient Secure Inference

    Apr 16, 2026Yukuan Zhang, Mengxin Zheng, Qian LouGraph Neural Network InferenceHomomorphic Encryption

  49. Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks

    Apr 3, 2026Bilal Khalid, Pedro Freire, Sergei K. Turitsyn +1Kolmogorov-Arnold NetworksGraph Neural Network Inference

  50. PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution

    Jul 2, 2025Omkar Shende, Gayathri Ananthanarayanan, Marcello TraiolaGraph Neural Network InferenceNeural Network

  51. Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer

    May 20, 2025Rebecca Pelke, José Cubero-Cascante, Nils Bosbach +5Resistive Random Access MemoryIn-Memory Computing

  52. InferNet: Exploiting Aggregate GPU Profiles as Side-Channel for DNN Architecture Inference

    Apr 6, 2023Raja Hasnain Anwar, Jonah O'Brien Weiss, Tiago Alves +1Graph Neural Network InferenceNeural Architectures

  53. DNA: Differentially private Neural Augmentation for contact tracing

    Date pendingRob Romijnders, Christos Louizos, Yuki M. Asano +1Covid-19Differential Privacy