|
graph neural networks |
5 |
|
self-supervised learning |
5 |
|
automated machine learning |
4 |
|
collaborative filtering |
4 |
|
masked autoencoder |
4 |
|
contrastive learning |
3 |
|
spatio-temporal data mining |
3 |
|
urban computing |
3 |
|
alignment |
2 |
|
autoencoder |
2 |
|
bias in recommender system |
2 |
|
collaborative filtering (cf) |
2 |
|
collaborative-filtering |
2 |
|
content-based recommendation |
2 |
|
crime prediction |
2 |
|
data sparsity |
2 |
|
deep neural networks |
2 |
|
diffusion |
2 |
|
diffusion model |
2 |
|
disentangled-representation-learning |
2 |
|
explainable ai |
2 |
|
generative ai |
2 |
|
graph attention networks |
2 |
|
graph learning |
2 |
|
graph neural network |
2 |
|
graph neural network (gnn) |
2 |
|
graph pre-training |
2 |
|
graph transformer |
2 |
|
graph-neural-networks |
2 |
|
heterogeneous graph |
2 |
|
heterogeneous graph representation |
2 |
|
hypergraph learning |
2 |
|
hypergraph representation |
2 |
|
knowledge distillation |
2 |
|
knowledge graph |
2 |
|
knowledge graph learning |
2 |
|
large language models |
2 |
|
meta learning |
2 |
|
multi-behavior learning |
2 |
|
multi-behavior recommendation |
2 |
|
multi-modal |
2 |
|
multi-modal learning |
2 |
|
multi-modal recommendation |
2 |
|
popularity bias |
2 |
|
prompt learning |
2 |
|
prompt-tuning |
2 |
|
recommendation |
2 |
|
recommender system |
2 |
|
recommender systems |
2 |
|
sequential recommendation |
2 |
|
smart cities |
2 |
|
social recommendation |
2 |
|
social-recommendation |
2 |
|
spatial-temporal data mining |
2 |
|
spatial-temporal prediction |
2 |
|
traffic flow forecasting |
2 |
|
transformer network |
2 |
