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09/05/2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Temporal Graph Networks (TGNs) have shown remarkable performance in lear...
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09/05/2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
Continuous-time dynamic graph modeling is a crucial task for many real-w...
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08/27/2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Temporal Interaction Graphs (TIGs) are widely employed to model intricat...
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08/09/2023
Dual Intents Graph Modeling for User-centric Group Discovery
Online groups have become increasingly prevalent, providing users with s...
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03/25/2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Large language models (LLMs) have demonstrated their significant potenti...
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02/13/2023
TIGER: Temporal Interaction Graph Embedding with Restarts
Temporal interaction graphs (TIGs), consisting of sequences of timestamp...
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02/07/2023
ConsRec: Learning Consensus Behind Interactions for Group Recommendation
Since group activities have become very common in daily life, there is a...
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08/12/2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Risk scoring systems have been widely deployed in many applications, whi...
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06/08/2022
ReCo: A Dataset for Residential Community Layout Planning
Layout planning is centrally important in the field of architecture and ...
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02/06/2022
Triangle Graph Interest Network for Click-through Rate Prediction
Click-through rate prediction is a critical task in online advertising. ...
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12/04/2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
With the great success of pre-trained models, the pretrain-then-finetune...
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08/14/2021
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
In order to model the evolution of user preference, we should learn user...
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09/22/2020