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09/14/2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Label scarcity in a graph is frequently encountered in real-world applic...
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08/27/2023
Only Encode Once: Making Content-based News Recommender Greener
Large pretrained language models (PLM) have become de facto news encoder...
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03/09/2023
Out-of-distribution Detection with Implicit Outlier Transformation
Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection...
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08/15/2022
Debiased Recommendation with Neural Stratification
Debiased recommender models have recently attracted increasing attention...
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04/01/2022
Sequential Recommendation with Causal Behavior Discovery
The key of sequential recommendation lies in the accurate item correlati...
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09/26/2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Collaborative filtering (CF) is a widely studied research topic in recom...
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06/07/2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs
Graph embedding is a general approach to tackling graph-analytic problem...
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02/18/2020
Adversarial Deep Network Embedding for Cross-network Node Classification
In this paper, the task of cross-network node classification, which leve...
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11/03/2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Improving the performance of click-through rate (CTR) prediction remains...
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09/04/2019
Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
This paper studies the problem of cross-network node classification to o...
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08/30/2019