| Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
|
2022 |
Liu, Meng |
| Structure-Enhanced Heterogeneous Graph Contrastive Learning
|
2022 |
Zhu, Yanqiao |
| Diverse and Experienced Group Discovery via Hypergraph Clustering
|
2022 |
Amburg, Ilya |
| SAGA: Signal-Aware Graph Aggregation
|
2022 |
McNeil, Maxwell |
| Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series
|
2022 |
Yeh, Chin-Chia Michael |
| Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
|
2022 |
Ding, Yongliang |
| Capturing Model Uncertainty with Data Augmentation in Deep Learning
|
2022 |
Jiang, Wenming |
| Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning
|
2022 |
Zhou, Shuang |
| HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
|
2022 |
An, Bang |
| BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties
|
2022 |
Gupta, Vishu |
| Dense and Well-Connected Subgraph Detection in Dual Networks
|
2022 |
Chen, Tianyi |
| Multi-interest Sequence Modeling for Recommendation with Causal Embedding
|
2022 |
Sun, Caiqi |
| FedMe: Federated Learning via Model Exchange
|
2022 |
Matsuda, Koji |
| Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach
|
2022 |
Iacob, Alexandra |
| Localized Graph Collaborative Filtering
|
2022 |
Wang, Yiqi |
| Time-aware Multi-interest Capsule Network for Sequential Recommendation
|
2022 |
Wang, Zhikai |
| A Non-sequential Approach to Deep User Interest Model for CTR Prediction
|
2022 |
Zhao, Keke |
| Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS)
|
2022 |
Schouten, Rianne Margaretha |
| CPTAM: Constituency Parse Tree Aggregation Method
|
2022 |
Kulkarni, Adithya |
| Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs
|
2022 |
Zhang, Yiming |
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