Latest

• On Softmax Direct Preference Optimization for Recommendation
• $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
• Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
• Towards Neuron Attributions in Multi-Modal Large Language Models
• Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
• Large Language-Recommendation Assistant
• Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
• EXGC: Bridging Efficiency and Explainability in Graph Condensation
• Invariant Graph Learning for Causal Effect Estimation
• 3D-MoLM: Towards 3D Molecule-Text Interpretation in Language Models
• Text-to-Image Generation for Abstract Concepts
• BSL: Understanding and Improving Softmax Loss for Recommendation
• Masked Graph Modeling with Multi-View Contrast
• Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
• Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
• Understanding Contrastive Learning via Distributionally Robust Optimization
• Unleashing the Power of Graph Data Augmentation on Covariate Shift
• On the Effectiveness of Sampled Softmax Loss for Item Recommendation
• A Generic Learning Framework for Sequential Recommendation with Distribution Shifts
• Learning to Double-check Model Prediction from a Causal Perspective
• Alleviating Structural Distribution Shift in Graph Anomaly Detection
• Cooperative Explanations of Graph Neural Networks
• Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
• Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum
• GIF: A General Graph Unlearning Strategy via Influence Function
• Inductive Lottery Ticket Learning for Graph Neural Networks
• Exploring Lottery Ticket Hypothesis in Media Recommender Systems
• Causal Attention for Interpretable and Generalizable Graph Classification
• Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
• Reinforced Causal Explainer for Graph Neural Networks
• A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
• Bias and Debias in Recommender System: A Survey and Future Directions
• Graph Convolution Machine for Context-aware Recommender System
• Rumor Detection with Self-supervised Learning on Texts and Social Graph
• Time-aware Path Reasoning on Knowledge Graph for Recommendation
• Discovering Invariant Rationales for Graph Neural Networks
• Cross Pairwise Ranking for Unbiased Item Recommendation
• Towards Multi-Grained Explainability for Graph Neural Networks
• Deconfounded Recommendation for Alleviating Bias Amplification
• Self-supervised Graph Learning for Recommendation
• Learning Intents behind Interactions with Knowledge Graph for Recommendation
• Interactive Path Reasoning on Graph for Conversational Recommendation
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
• Bilinear Graph Neural Network with Neighbor Interactions
• Reinforced Negative Sampling over Knowledge Graph for Recommendation
• KGAT: Knowledge Graph Attention Network for Recommendation
• Neural Graph Collaborative Filtering
• Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference
• Explainable Reasoning over Knowledge Graph Paths for Recommendation
• TEM: Tree-enhanced Embedding Model for Explainable Recommendation
• Item Silk Road: Recommending Items from Information Domains to Social Users