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RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.417-426

2018

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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.843-852

2018

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CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.667-676

2018

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Towards Conversational Search and Recommendation: System Ask, User Respond

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.177-186

2018

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BotRGCN: Twitter bot detection with relational graph convolutional networks

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, p.236-239

2021

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Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, p.90-94

2021

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REGAL: Representation Learning-based Graph Alignment

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.117-126

2018

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Weakly-Supervised Neural Text Classification

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.983-992

2018

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Heterogeneous Graph Neural Networks for Malicious Account Detection

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.2077-2085

2018

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From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.497-506

2018

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Fairness-Aware Tensor-Based Recommendation

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.1153-1162

2018

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Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.1393-1402

2018

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CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.137-146

2018

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Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.2243-2251

2018

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Rumor Detection with Hierarchical Social Attention Network

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.943-951

2018

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KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.743-752

2018

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Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.2193-2201

2018

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MMCoVaR: multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, p.31-38

2021

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ANR: Aspect-based Neural Recommender

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.147-156

2018

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Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.437-446

2018

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Semi-supervised Learning on Graphs with Generative Adversarial Nets

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.913-922

2018

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Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.1655-1658

2018

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Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.1443-1451

2018

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GPT-2C: a parser for honeypot logs using large pre-trained language models

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021, p.649-653

2021

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Differentiable Unbiased Online Learning to Rank

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.1293-1302

2018

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RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Towards Conversational Search and Recommendation: System Ask, User Respond

BotRGCN: Twitter bot detection with relational graph convolutional networks

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis

REGAL: Representation Learning-based Graph Alignment

Weakly-Supervised Neural Text Classification

Heterogeneous Graph Neural Networks for Malicious Account Detection

From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing

Fairness-Aware Tensor-Based Recommendation

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection

CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

Rumor Detection with Hierarchical Social Attention Network

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

MMCoVaR: multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification

ANR: Aspect-based Neural Recommender

Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings

Semi-supervised Learning on Graphs with Generative Adversarial Nets

Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

GPT-2C: a parser for honeypot logs using large pre-trained language models

Differentiable Unbiased Online Learning to Rank

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