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08/14/2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Recently, graph neural networks (GNNs) have shown its unprecedented succ...
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07/24/2023
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Owing to the nature of privacy protection, federated recommender systems...
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05/07/2023
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
Sequential recommendation (SR) aims to model user preferences by capturi...
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04/10/2023
Sequential Recommendation with Diffusion Models
Generative models, such as Variational Auto-Encoder (VAE) and Generative...
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12/15/2022
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
With an exponentially growing number of graphs from disparate repositori...
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07/16/2022
DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing
Among many solutions to the high-dimensional approximate nearest neighbo...
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07/11/2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Semantic relation prediction aims to mine the implicit relationships bet...
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07/08/2022
Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
With the popularity of GPS-enabled devices, a huge amount of trajectory ...
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07/01/2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Dynamic graphs refer to graphs whose structure dynamically changes over ...
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04/21/2022
A Learned Index for Exact Similarity Search in Metric Spaces
Indexing is an effective way to support efficient query processing in la...
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01/08/2022
HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks
Sources of complementary information are connected when we link user acc...
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11/20/2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Sequential recommendation has been a widely popular topic of recommender...
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11/20/2021
Quaternion-Based Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has been widely applied in recommender s...
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09/09/2021
Multi-Constraint Shortest Path using Forest Hop Labeling
The Multi-Constraint Shortest Path (MCSP) problem aims to find the short...
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01/22/2021
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries
Trajectory similarity computation is a fundamental component in a variet...
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10/04/2020
Trajectory-Based Spatiotemporal Entity Linking
Trajectory-based spatiotemporal entity linking is to match the same movi...
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10/02/2020
Overcoming Data Sparsity in Group Recommendation
It has been an important task for recommender systems to suggest satisfy...
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06/06/2020
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors
Early prediction of students at risk (STAR) is an effective and signific...
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02/18/2020
Updates-Aware Graph Pattern based Node Matching
Graph Pattern based Node Matching (GPNM) is to find all the matches of t...
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11/07/2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics
In various web applications like targeted advertising and recommender sy...
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10/29/2019
A Survey on Map-Matching Algorithms
The map-matching is an essential preprocessing step for most of the traj...
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10/27/2019
Typical Snapshots Selection for Shortest Path Query in Dynamic Road Networks
Finding the shortest paths in road network is an important query in our ...
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10/27/2019
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
Linking authors of short-text contents has important usages in many appl...
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07/06/2019
TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs
Contagions (e.g. virus, gossip) spread over the nodes in propagation gra...
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07/06/2019
TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs
Given a graph over which the contagions (e.g. virus, gossip) propagate, ...
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05/29/2019
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation
When purchasing appearance-first products, e.g., clothes, product appear...
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07/13/2017