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Frequent Directions
馒头and花卷 2024-11-06 15:47 阅读:117 评论:0 推荐:0
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
馒头and花卷 2024-10-23 11:03 阅读:181 评论:0 推荐:0
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
馒头and花卷 2024-10-13 20:59 阅读:79 评论:0 推荐:0
Contrastive Learning Is Spectral Clustering On Similarity Graph
馒头and花卷 2024-10-13 17:07 阅读:102 评论:0 推荐:0
Why Transformers Need Adam: A Hessian Perspective
馒头and花卷 2024-08-26 17:13 阅读:144 评论:0 推荐:0
HiPPO: Recurrent Memory with Optimal Polynomial Projections
馒头and花卷 2024-06-05 21:01 阅读:877 评论:2 推荐:2
An Analysis of Sequential Recommendation Datasets
馒头and花卷 2024-04-24 14:02 阅读:112 评论:0 推荐:0
How Powerful are Spectral Graph Neural Networks?
馒头and花卷 2023-11-20 20:37 阅读:195 评论:0 推荐:0
Learning to rank: from pairwise approach to listwise approach
馒头and花卷 2023-11-19 21:10 阅读:292 评论:0 推荐:1
Decoupling the Depth and Scope of Graph Neural Networks
馒头and花卷 2023-11-17 14:39 阅读:271 评论:0 推荐:0
Temporal Point Processes
馒头and花卷 2023-11-09 14:21 阅读:548 评论:0 推荐:0
BWT and FM-index
馒头and花卷 2023-10-29 16:20 阅读:1598 评论:0 推荐:0
RoPE
馒头and花卷 2023-07-24 17:38 阅读:385 评论:0 推荐:0
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
馒头and花卷 2023-05-22 15:58 阅读:57 评论:0 推荐:0
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
馒头and花卷 2023-05-06 14:36 阅读:45 评论:0 推荐:0
Graph Convolutional Networks with EigenPooling
馒头and花卷 2023-05-05 11:21 阅读:150 评论:0 推荐:0
FastGCN Fast Learning with Graph Convolutional Networks via Importance Sampling
馒头and花卷 2023-04-16 17:15 阅读:186 评论:0 推荐:0
A Theory of Usable Information Under Computational Constraints
馒头and花卷 2023-04-03 16:00 阅读:240 评论:0 推荐:0
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective
馒头and花卷 2023-03-28 13:40 阅读:189 评论:0 推荐:0
Practical Diversified Recommendations on YouTube with Determinantal Point Processes
馒头and花卷 2023-03-17 17:24 阅读:195 评论:0 推荐:0
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