Search Result

1

Graph contrastive learning recommendation algorithm based on gradient-aware graph augmentation

基于梯度感知图增强的图对比学习推荐算法

Hu Jichao

Hu Xiyao

Li Huanzhe

recommender system

graph contrastive learning

graph augmentations

gradient awareness

hard negative samples

No. 1, 2026 : 136-144 doi:10.19734/j.issn.1001-3695.2025.05.0172

2

Multi-view neighbor contrastive learning for node classification

基于多视图邻居对比学习的节点分类方法

Liu Junlong

Dong Jizhou

Wang Yidan

graph contrastive learning

node classification

graph neural network

neighbor contrastive loss

No. 1, 2026 : 145-152 doi:10.19734/j.issn.1001-3695.2025.05.0170

3

Dynamic knowledge tracking driven by multi-view comparison learning

多视图对比学习驱动的动态知识追踪

Xie Wanzhen

Liu Wei

Hu Diwei

Cui Zihan

Zhao Yubo

knowledge tracing(KT)

heterogeneous graph

graph contrastive learning

knowledge mastery status

local subgraph

No. 11, 2025 : 3325-3332 doi:10.19734/j.issn.1001-3695.2025.05.0118

4

Stack-based metapath aggregation for heterogeneous network graph contrastive learning

分槽聚合元路径信息的异质网络图对比学习方法

Yan Guanghui

Quan Sijie

Luo Hao

heterogeneous network

metapath

graph contrastive learning

GNN(graph neural network)

No. 11, 2025 : 3378-3386 doi:10.19734/j.issn.1001-3695.2025.03.0060

5

Graph contrastive learning recommendation algorithm based on mixed sampling

基于混合采样的图对比学习推荐算法

Yuan Congqi

Liu Yuan

Liu Jingwen

graph convolutional network

recommender systems

hard negative samples

graph contrastive learning

No. 5, 2023 : 1346-1351 doi:10.19734/j.issn.1001-3695.2022.10.0533

Search 图对比学习

Search图对比学习returned 5 results

Graph contrastive learning recommendation algorithm based on gradient-aware graph augmentation

Multi-view neighbor contrastive learning for node classification

Dynamic knowledge tracking driven by multi-view comparison learning

Stack-based metapath aggregation for heterogeneous network graph contrastive learning

Graph contrastive learning recommendation algorithm based on mixed sampling