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- Publisher Website: 10.1109/VLSITechnologyandCir46769.2022.9830418
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Conference Paper: Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory
| Title | Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory |
|---|---|
| Authors | |
| Issue Date | 2022 |
| Publisher | IEEE. |
| Citation | 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), p. 224-225 How to Cite? |
| Persistent Identifier | http://hdl.handle.net/10722/320752 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, W | - |
| dc.contributor.author | WANG, S | - |
| dc.contributor.author | Li, Y | - |
| dc.contributor.author | Xu, X | - |
| dc.contributor.author | Dong, D | - |
| dc.contributor.author | Jiang, N | - |
| dc.contributor.author | Wang, F | - |
| dc.contributor.author | Guo, Z | - |
| dc.contributor.author | Fang, R | - |
| dc.contributor.author | Dou, C | - |
| dc.contributor.author | Ni, K | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Shang, D | - |
| dc.contributor.author | Liu, M | - |
| dc.date.accessioned | 2022-10-21T07:59:13Z | - |
| dc.date.available | 2022-10-21T07:59:13Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), p. 224-225 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/320752 | - |
| dc.language | eng | - |
| dc.publisher | IEEE. | - |
| dc.relation.ispartof | 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) | - |
| dc.rights | 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). Copyright © IEEE. | - |
| dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.title | Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Wang, Z: zrwang@eee.hku.hk | - |
| dc.identifier.authority | Wang, Z=rp02714 | - |
| dc.identifier.doi | 10.1109/VLSITechnologyandCir46769.2022.9830418 | - |
| dc.identifier.hkuros | 340537 | - |
| dc.identifier.spage | 224 | - |
| dc.identifier.epage | 225 | - |