[rfp1353] graphpro: graph pretraining and prompt learning for recommendation
Published 8 months ago • 65 plays • Length 2:53Download video MP4
Download video MP3
Similar videos
-
2:18
[rfp1562] unleashing the power of knowledge graph for recommendation via invariant learning
-
2:43
[rfp0622] multigprompt for multi-task pre-training and prompting on graphs
-
4:13
deepfm for recommendation systems explained
-
44:24
recsys 2021 keynote: graph neural networks for knowledge representation and recommendation
-
16:00
sigir 2024 t2.5 [fp] gpt4rec: graph prompt tuning for streaming recommendation
-
8:27
fine-tune llama 3.2 vision model with healthcare images in 8 mins!
-
1:03:51
recommender system and it's design
-
6:13
graph rag ui: powerful chat with your docs!
-
30:32
recommender systems with qdrant
-
13:01
recommender systems using graph neural networks
-
6:30
recommender system - machine learning project
-
15:11
fairmatch: a graph-based approach for improving aggregate diversity in recommender systems
-
34:48
effects of nonlinear functions on knowledge graph convolutional networks for recommender systems
-
3:28:52
workshop on online recommender systems and user modeling
-
6:54
recommender systems | designing recommendation using auto-encoders | machine learning | deeplearning
-
10:49
paper session 3: predictability limits in session-based next item recommendation - priit järv
-
33:43
deep recommender system: fundamentals and advances - graph neural networks for recommendations
-
24:53
prompt based recommendation systems: a new era of personalized experiences - by rohan singh rajput
-
2:54
[rfp1560] unify graph learning with text: unleashing llm potentials for session search
-
2:28
[rfp0193] collaborative large language model for recommender systems