Fe-GCN: A 3D FeFET Memory Based PIM Accelerator for Graph Convolutional Networks.
Hongtao ZhongYu ZhuLongfei LuoTaixin LiChen WangYixin XuTianyi WangYao YuVijaykrishnan NarayananYongpan LiuLiang ShiHuazhong YangXueqing LiPublished in: ISVLSI (2023)
Keyphrases
- fully connected
- average degree
- finite element
- graph theory
- graph structures
- edge weights
- random walk
- highly connected
- small world
- spanning tree
- graph structure
- graph theoretic
- graph representation
- soft tissue
- graph model
- bipartite graph
- directed graph
- complex networks
- social networks
- community discovery
- directed edges
- degree distribution
- betweenness centrality
- protein interaction networks
- scale free
- path length
- weighted graph
- sparse coding
- computer networks
- network structure
- structured data
- software engineering