122 results on '"LIANGHAO XIA"'
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2. Graph Augmentation for Recommendation.
3. GraphPro: Graph Pre-training and Prompt Learning for Recommendation.
4. Representation Learning with Large Language Models for Recommendation.
5. PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.
6. DiffKG: Knowledge Graph Diffusion Model for Recommendation.
7. SSLRec: A Self-Supervised Learning Framework for Recommendation.
8. SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.
9. Multi-Behavior Graph Neural Networks for Recommender System.
10. GraphEdit: Large Language Models for Graph Structure Learning.
11. A Comprehensive Survey on Self-Supervised Learning for Recommendation.
12. FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.
13. DiffMM: Multi-Modal Diffusion Model for Recommendation.
14. OpenGraph: Towards Open Graph Foundation Models.
15. RecDiff: Diffusion Model for Social Recommendation.
16. Disentangled Graph Social Recommendation.
17. Multi-Modal Self-Supervised Learning for Recommendation.
18. Automated Self-Supervised Learning for Recommendation.
19. Automated Spatio-Temporal Graph Contrastive Learning.
20. Graph-less Collaborative Filtering.
21. Debiased Contrastive Learning for Sequential Recommendation.
22. Knowledge Graph Self-Supervised Rationalization for Recommendation.
23. Denoised Self-Augmented Learning for Social Recommendation.
24. How Expressive are Graph Neural Networks in Recommendation?
25. Explainable Spatio-Temporal Graph Neural Networks.
26. Spatio-Temporal Meta Contrastive Learning.
27. Multi-Relational Contrastive Learning for Recommendation.
28. Heterogeneous Graph Contrastive Learning for Recommendation.
29. Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.
30. Graph Masked Autoencoder for Sequential Recommendation.
31. Graph Transformer for Recommendation.
32. Disentangled Contrastive Collaborative Filtering.
33. Multi-Behavior Sequential Recommendation With Temporal Graph Transformer.
34. Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.
35. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
36. Self-Supervised Hypergraph Transformer for Recommender Systems.
37. Self-Supervised Learning for Recommendation.
38. Contrastive Meta Learning with Behavior Multiplicity for Recommendation.
39. Knowledge Graph Contrastive Learning for Recommendation.
40. Hypergraph Contrastive Collaborative Filtering.
41. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.
42. GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.
43. Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems.
44. DiffKG: Knowledge Graph Diffusion Model for Recommendation.
45. Representation Learning with Large Language Models for Recommendation.
46. SSLRec: A Self-Supervised Learning Library for Recommendation.
47. Adaptive Graph Contrastive Learning for Recommendation.
48. Multi-Behavior Graph Neural Networks for Recommender System.
49. Graph Pre-training and Prompt Learning for Recommendation.
50. Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.
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