|
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 |
|
abnormal event forecasting |
1 |
|
accuracy assessment |
1 |
|
additional key words and phrasesnext location recommendation |
1 |
|
anomaly prediction |
1 |
|
apollo fact-finder |
1 |
|
arbitrary source dependency graph |
1 |
|
attention model |
1 |
|
attention neural networks |
1 |
|
attributed networks |
1 |
|
author identification |
1 |
|
bayesian inference |
1 |
|
behavior pattern |
1 |
|
big data |
1 |
|
claim lifespan |
1 |
|
collaborative learning |
1 |
|
confidence-aware |
1 |
|
control theory |
1 |
|
crowdsourcing |
1 |
|
cyber-physical systems |
1 |
|
cyber-physical-social systems |
1 |
|
data quality |
1 |
|
data scarcity |
1 |
|
deep learning |
1 |
|
deep neural network |
1 |
|
distributed computing |
1 |
|
diversified local users |
1 |
|
dynamic networks |
1 |
|
expectation maximization |
1 |
|
fake review detection |
1 |
|
fraud detection |
1 |
|
gpu implementation |
1 |
|
graph convolutional networks |
1 |
|
graph embedding |
1 |
|
graph representation learning |
1 |
|
healthcare informatics |
1 |
|
heterogeneous graphs |
1 |
|
heterogeneous networks |
1 |
|
hidden markov model |
1 |
|
home location inference |
1 |
|
home location profiling |
1 |
|
human mobility |
1 |
|
intelligent transportation |
1 |
|
interesting place discovery |
1 |
|
interesting place finding |
1 |
|
knowledge discovery |
1 |
|
large-scale attributed networks |
1 |
|
large-scale networks |
1 |
|
link weight |
1 |
|
local attractiveness of venues |
1 |
|
localness inference |
1 |
|
localness of people |
1 |
|
location based social networks (lbsn) |
1 |
|
location based social networks foursquare |
1 |
|
machine learning |
1 |
|
maximum likelihood estimation |
1 |
|
meta-learning |
1 |
|
metric learning |
1 |
|
multiple resolutions |
1 |
|
multiplex graph neural network |
1 |
|
multiplex heterogeneous networks |
1 |
|
network embedding |
1 |
|
network representation learning |
1 |
|
node embedding |
1 |
|
online social media |
1 |
|
online social networks |
1 |
|
parallel implementation |
1 |
|
performance bounds |
1 |
|
personalization |
1 |
|
physical dependency |
1 |
|
probabilistic generative model |
1 |
|
purchase intent forecasting |
1 |
|
purchase prediction |
1 |
|
recommendation systems |
1 |
|
relation chain |
1 |
|
relation learning |
1 |
|
representation learning |
1 |
|
rumor robust |
1 |
|
scalability |
1 |
|
self-paced learning |
1 |
|
smart city |
1 |
|
social dependency |
1 |
|
social media |
1 |
|
social sensing |
1 |
|
socical sensing |
1 |
|
source dependency |
1 |
|
source responsiveness |
1 |
|
source selection |
1 |
|
sparse random projection |
1 |
|
sparse social sensing |
1 |
|
spatial-temporal |
1 |
|
spatial-temporal-social constraints |
1 |
|
spatio-temporal data |
1 |
|
speak rate |
1 |
|
temporal behavior modeling |
1 |
|
temporal dynamics |
1 |
|
temporal interaction learning |
1 |
|
tensor factorization |
1 |
|
time series classification |
1 |
|
time series forecasting |
1 |
|
time-aware |
1 |
|
time-sensitive |
1 |
|
topic-aware |
1 |
|
traffic accident forecasting |
1 |
|
trajectory representation learning |
1 |
|
trajectory-user linking |
1 |
|
truth discovery |
1 |
|
truth estimation |
1 |
|
truth finding |
1 |
|
twitter |
1 |
|
uncertainty-aware |
1 |
|
unsupervised learning |
1 |
|
wearable-sensory time series imputation |
1 |
