Paper reviews on DS535 (2023)

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[RecSys 2023] Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
[CIKM 2020] Multi-modal Knowledge Graphs for Recommender Systems
[CVPR 2023] Learning to Generte Language-supervised and Open-vocabulary Scene Graph using Pre-trained Visual-Semantic Space
[ICLR 2023] GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
[ICLR 2021] Directed Acyclic Graph Neural Networks
[ICLR 2023] GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
[ICML 2022] Rethinking Graph Neural Networks for Anomaly Detection
[ICML 2023] Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
[KDD 2022] Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis
[KDD 2022] ROLAND: Graph Learning Framework for Dynamic Graphs
[KDD 2023] DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
[NIPS 2021] A/B Testing for Recommender Systems in a Two-sided Marketplace
[NIPS 2021] Robustness of Graph Neural Networks at Scale
[NIPS 2021] A 3D Generative Model for Structure-based Drug Design
[RecSys 2021] Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
[RecSys 2022] Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning
[RecSys 2023] STRec: Sparse Transformer for Sequential Recommendations
[RecSys 2020] Fit to Run: Personalised Recommendations for Marathon Training
[RecSys 2022] Don’t recommend the obvious: estimate probability ratios
[RecSys 2023] Trending Now: Modeling Trend Recommendations
[SIGIR 2020] Neural Interactive Collaborative Filtering
[SIGIR 2021] ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
[SIGIR 2022] User-controllable Recommendation Against Filter Bubbles
[SIGIR 2023] Diffusion Recommender Model
[SIGIR 2020] Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
[SIGIR 2020] LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
[SIGIR 2023] Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation
[TSRML 2022] Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
[WSDM 2020] RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
[WWW 2023] HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
[AAAI 2023] Simple and Efficient Heterogeneous Graph Neural Network