46 results on '"LIANGHAO XIA"'
Search Results
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. FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.
10. Disentangled Graph Social Recommendation.
11. Multi-Modal Self-Supervised Learning for Recommendation.
12. Automated Self-Supervised Learning for Recommendation.
13. Automated Spatio-Temporal Graph Contrastive Learning.
14. Graph-less Collaborative Filtering.
15. Debiased Contrastive Learning for Sequential Recommendation.
16. Knowledge Graph Self-Supervised Rationalization for Recommendation.
17. Denoised Self-Augmented Learning for Social Recommendation.
18. How Expressive are Graph Neural Networks in Recommendation?
19. Explainable Spatio-Temporal Graph Neural Networks.
20. Spatio-Temporal Meta Contrastive Learning.
21. Multi-Relational Contrastive Learning for Recommendation.
22. Heterogeneous Graph Contrastive Learning for Recommendation.
23. Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.
24. Graph Masked Autoencoder for Sequential Recommendation.
25. Graph Transformer for Recommendation.
26. Disentangled Contrastive Collaborative Filtering.
27. Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.
28. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
29. Self-Supervised Hypergraph Transformer for Recommender Systems.
30. Self-Supervised Learning for Recommendation.
31. Contrastive Meta Learning with Behavior Multiplicity for Recommendation.
32. Knowledge Graph Contrastive Learning for Recommendation.
33. Hypergraph Contrastive Collaborative Filtering.
34. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.
35. GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.
36. Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.
37. Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.
38. Social Recommendation with Self-Supervised Metagraph Informax Network.
39. Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.
40. Knowledge-aware Coupled Graph Neural Network for Social Recommendation.
41. Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
42. Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.
43. Graph Meta Network for Multi-Behavior Recommendation.
44. Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.
45. Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.
46. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.