当前标签：theoretical

Structured Denoising Diffusion Models in Discrete State-Spaces

馒头and花卷 2022-12-14 19:54 阅读:1565 评论:0 推荐:3 编辑

Diffusion Probability Model

馒头and花卷 2022-11-27 18:54 阅读:534 评论:0 推荐:0 编辑

Perturbation-Recovery Method for Recommendation

馒头and花卷 2022-11-23 19:40 阅读:144 评论:0 推荐:0 编辑

LT-OCF: Learnable-Time ODE-based Collaborative Filtering

馒头and花卷 2022-11-23 17:41 阅读:90 评论:0 推荐:0 编辑

Deep Variational Information Bottleneck

馒头and花卷 2022-11-19 14:19 阅读:340 评论:0 推荐:0 编辑

Collaboration-Aware Graph Convolutional Network for Recommender Systems

馒头and花卷 2022-11-05 16:07 阅读:339 评论:2 推荐:0 编辑

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

馒头and花卷 2022-11-02 15:38 阅读:216 评论:0 推荐:0 编辑

How Powerful is Implicit Denoising in Graph Neural Networks

馒头and花卷 2022-10-19 16:38 阅读:93 评论:0 推荐:0 编辑

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

馒头and花卷 2022-10-18 10:38 阅读:70 评论:0 推荐:0 编辑

Connecting Graph Convolution and Graph PCA

馒头and花卷 2022-10-17 18:22 阅读:37 评论:0 推荐:0 编辑

Elastic Graph Neural Networks

馒头and花卷 2022-10-17 16:05 阅读:64 评论:0 推荐:0 编辑

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

馒头and花卷 2022-10-16 11:42 阅读:213 评论:2 推荐:0 编辑

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

馒头and花卷 2022-10-15 18:19 阅读:339 评论:0 推荐:0 编辑

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

馒头and花卷 2022-10-11 20:07 阅读:99 评论:0 推荐:0 编辑

Releasing Graph Neural Networks with Differential Privacy Guarantees

馒头and花卷 2022-10-05 14:02 阅读:52 评论:0 推荐:0 编辑

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

馒头and花卷 2022-10-05 13:31 阅读:121 评论:0 推荐:0 编辑

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

馒头and花卷 2022-09-29 10:47 阅读:494 评论:0 推荐:0 编辑

A Unified View on Graph Neural Networks as Graph Signal Denoising

馒头and花卷 2022-09-28 14:42 阅读:249 评论:0 推荐:1 编辑

Adaptive Sampled Softmax with Kernel Based Sampling

馒头and花卷 2022-09-23 14:03 阅读:74 评论:0 推荐:0 编辑

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

馒头and花卷 2022-09-21 15:19 阅读:120 评论:0 推荐:0 编辑