加载中...
分类 - 论文分享
2020
【2020/WWW】Structural Deep Clustering Network
【2020/WWW】Structural Deep Clustering Network
PopRank:异质信息网络中对象级别的节点排序模型
PopRank:异质信息网络中对象级别的节点排序模型
FINCH:基于最近邻的无参数聚类方法
FINCH:基于最近邻的无参数聚类方法
2019
【2004/VLDB】ObjectRank:Authority-Based Keyword Search in Databases
【2004/VLDB】ObjectRank:Authority-Based Keyword Search in Databases
【2019/DLG】Overlapping Community Detection with Graph Neural Networks
【2019/DLG】Overlapping Community Detection with Graph Neural Networks
【2019/CVPR】Graph Convolutional Label Noise Cleaner for Anomaly Detection
【2019/CVPR】Graph Convolutional Label Noise Cleaner for Anomaly Detection
SIGMETRICS 2013丨MonitorRank:微服务架构中的根因定位方法
SIGMETRICS 2013丨MonitorRank:微服务架构中的根因定位方法
ϵ-Diagnosis:大规模微服务系统中无监督的小窗口长尾延迟诊断方法
ϵ-Diagnosis:大规模微服务系统中无监督的小窗口长尾延迟诊断方法
IJCAI 2019丨基于 CNN 和迁移学习的时间序列异常检测模型
IJCAI 2019丨基于 CNN 和迁移学习的时间序列异常检测模型
【2019/ACL】Attention Guided Graph Convolutional Networks for Relation Extraction
【2019/ACL】Attention Guided Graph Convolutional Networks for Relation Extraction
DevNet:基于偏差网络的深度异常检测模型
DevNet:基于偏差网络的深度异常检测模型
CLOUD 2019丨基于多模态深度学习方法调用链异常检测方法
CLOUD 2019丨基于多模态深度学习方法调用链异常检测方法
【2019/ACL】Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
【2019/ACL】Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
【2018/FSE】Identifying Impactful Service System Problems via Log Analysis
【2018/FSE】Identifying Impactful Service System Problems via Log Analysis
【2019/ICML】Position-aware Graph Neural Networks
【2019/ICML】Position-aware Graph Neural Networks
【2019/CVPR】RegularFace:Deep Face Recognition via Exclusive Regularization
【2019/CVPR】RegularFace:Deep Face Recognition via Exclusive Regularization
WWW 2018 丨 Donut:基于 VAE 的季节性 KPIs 无监督异常检测模型
WWW 2018 丨 Donut:基于 VAE 的季节性 KPIs 无监督异常检测模型
【2019/CVPR】Linkage Based Face Clustering via Graph Convolution Network
【2019/CVPR】Linkage Based Face Clustering via Graph Convolution Network
【2013/ICDM】On Anomalous Hotspot Discovery in Graph Streams
【2013/ICDM】On Anomalous Hotspot Discovery in Graph Streams
DeepGCNs:采用 CNNs 的思路来训练更深 GCNs 模型
DeepGCNs:采用 CNNs 的思路来训练更深 GCNs 模型
【2019/AAAI】Multi-Stage Self-Supervised Learning for Graph Convolutional Networks
【2019/AAAI】Multi-Stage Self-Supervised Learning for Graph Convolutional Networks
【2019/CVPR】Learning Actor Relation Graphs for Group Activity Recognition
【2019/CVPR】Learning Actor Relation Graphs for Group Activity Recognition
【2018/ESWC】Modeling Relational Data with Graph Convolutional Networks
【2018/ESWC】Modeling Relational Data with Graph Convolutional Networks
KDD 2016 | node2vec:可扩展的网络特征学习模型
KDD 2016 | node2vec:可扩展的网络特征学习模型
【2018/AAAI】Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
【2018/AAAI】Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
【2018/AAAI】An End-to-End Deep Learning Architecture for Graph Classification
【2018/AAAI】An End-to-End Deep Learning Architecture for Graph Classification
【2018/NeurIPS】Structure-Aware Convolutional Neural Networks
【2018/NeurIPS】Structure-Aware Convolutional Neural Networks
【2018/ICLR】FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS
【2018/ICLR】FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS
【2015/WWW】LINE:Large-scale Information Network Embedding
【2015/WWW】LINE:Large-scale Information Network Embedding
【2019/CVPR】3D Hand Shape and Pose Estimation from a Single RGB Image
【2019/CVPR】3D Hand Shape and Pose Estimation from a Single RGB Image
【2018/ECCV】Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images
【2018/ECCV】Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images
【2018/ECCV】Pose-Normalized Image Generation for Person Re-identification
【2018/ECCV】Pose-Normalized Image Generation for Person Re-identification