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Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.

W. Zhang, S. Wang, Y. Li, X. Xu, D. Dong, N. Jiang, F. Wang, Z. Guo, R. Fang, C. Dou, K. Ni, Z. Wang, D. Shang, and M. Liu. VLSI Technology and Circuits, page 224-225. IEEE, (2022)

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Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der MausM. Döngi. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximationD. Chen. TU München, (2009)

Manfred Dönges

Johannes Dönges

Klaus Georg Dönges

Other publications of authors with the same name

Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.W. Zhang, S. Wang, Y. Li, X. Xu, D. Dong, N. Jiang, F. Wang, Z. Guo, R. Fang, C. Dou and 4 other author(s). VLSI Technology and Circuits, page 224-225. IEEE, (2022)Echo state graph neural networks with analogue random resistor arrays.S. Wang, Y. Li, D. Wang, W. Zhang, X. Chen, D. Dong, S. Wang, X. Zhang, P. Lin, C. Gallicchio and 6 other author(s). CoRR, (2021)A 40-nm SONOS Digital CIM Using Simplified LUT Multiplier and Continuous Sample-Hold Sense Amplifier for AI Edge Inference.H. Hu, X. Wang, Z. Wang, H. Zhou, D. Dong, J. Yue, W. Pang, X. Xu, and C. Dou. IEEE Trans. Very Large Scale Integr. Syst., 31 (12): 2044-2052 (December 2023)3D Reservoir Computing with High Area Efficiency (5.12 TOPS/mm2) Implemented by 3D Dynamic Memristor Array for Temporal Signal Processing.W. Sun, W. Zhang, J. Yu, Y. Li, Z. Guo, J. Lai, D. Dong, X. Zheng, F. Wang, S. Fan and 3 other author(s). VLSI Technology and Circuits, page 222-223. IEEE, (2022)Scaling Potential Analysis for the CMOS Compatible Ox-RRAM.X. Xu, W. Sun, J. Yu, J. Lai, D. Dong, and H. Lv. IMW, page 1-4. IEEE, (2021)24.2 A 14nm-FinFET 1Mb Embedded 1T1R RRAM with a 0.022µ m2 Cell Size Using Self-Adaptive Delayed Termination and Multi-Cell Reference.J. Yang, X. Xue, X. Xu, Q. Wang, H. Jiang, J. Yu, D. Dong, F. Zhang, H. Lv, and M. Liu. ISSCC, page 336-338. IEEE, (2021)Echo state graph neural networks with analogue random resistive memory arrays.S. Wang, Y. Li, D. Wang, W. Zhang, X. Chen, D. Dong, S. Wang, X. Zhang, P. Lin, C. Gallicchio and 6 other author(s). Nat. Mac. Intell., 5 (2): 104-113 (February 2023)A 13 µW Analog Front-End with RRAM-Based Lowpass FIR Filter for EEG Signal Detection.Q. Ren, C. Chen, D. Dong, X. Xu, Y. Chen, and F. Zhang. Sensors, 22 (16): 6096 (2022)A 0.75 V reference clamping sense amplifier for low-power high-density ReRAM with dynamic pre-charge technique.J. Yin, C. Dou, D. Dong, J. Yu, X. Xu, Q. Luo, T. Gong, L. Tai, P. Yuan, X. Xue and 2 other author(s). IEICE Electron. Express, 16 (12): 20190201 (2019)First Demonstration of High-Sensitivity (NEP 1fW1/2) Back-Illuminated Active-Matrix Deep UV Image Sensor by Monolithic Integration of Ga2O3 Photodetectors and Oxide Thin-Film-Transistors.Y. Qin, C. Lu, Z. Yu, Z. Yao, F. Wu, D. Dong, X. Zhao, G. Xu, Y. Zhang, S. Long and 2 other author(s). VLSI Technology and Circuits, page 345-346. IEEE, (2022)

BibSonomy

Disambiguation of "Dong, Danian"

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Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Manfred Dönges

Johannes Dönges

Klaus Georg Dönges

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dong, Danian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.

Please choose a person to relate this publication to

Michael Döngi

Dong Chen

Manfred Dönges

Johannes Dönges

Klaus Georg Dönges

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.