Paper reviews on DS535 (2024)

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[KDD-23] Adaptive Graph Contrastive Learning for Recommendation
[NeurIPS - 23] Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
[WWW-24] AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
[WWW-24] Can Small Language Models be Good Reasoners for Sequential Recommendation?
[ICML-24] Class-Imbalanced Graph Learning without Class Rebalancing
[NeurIPS-2022] Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
[SIGIR-23] Curse of Low Dimensionality in Recommender Systems
[CVPR-2023] Deep Graph Reprogramming
[KDD-2023] Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
[SIGIR-24] Diffusion Models for Generative Outfit Recommendation
[NIPS-23] Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
[AAAI 2024] Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
[AAAI-2024] Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
[KDD-24] Generative Flow Network for Listwise Recommendation
[AAAI-24] GINSD Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
[NeurIPS-22] Interaction Modeling with Multiplex Attention
[AAAI-2024] Label Attentive Distillation for GNN-Based Graph Classification
[NIPS-21] Language Models as Recommender Systems: Evaluations and Limitations
[CIKM-2024] Learnable Item Tokenization for Generative Recommendation
[CIKM-21] Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
[NeurIPS 2022] Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
[WSDM-24] LLMRec: Large Language Models with Graph Augmentation for Recommendation
[AAAI-24] No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
[ICLR-22] On Evaluation Metrics For Graph Generative Models
[WWW-2024] On the Feasibility of Simple Transformer for Dynamic Graph Modeling
[SIGIR 2024] Pacer and Runner Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
[KDD-24] Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
[KDD 2024] RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
[ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
[SIGIR-24] SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
[NeurIPS-24] SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
[ACL-24] Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs