过去一年中添加的文章，按日期排序
Nfarec: A negative feedback-aware recommender model
106 天前 - … Graph convolution networks (GCNs) have been widely employed to capture user–item
interactive signals for recommendations … neighboring nodes during convolutions through …
interactive signals for recommendations … neighboring nodes during convolutions through …
Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction
159 天前 - … e-commerce recommendations, protein interaction forecasts, … weights to neighboring
nodes during convolution. Hamilton … Inspirede by [29], we leverages graph convolution to …
nodes during convolution. Hamilton … Inspirede by [29], we leverages graph convolution to …
NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation
183 天前 - … of interaction graph and the graph convolution with the same weight for graph-based
recommendation … And, we propose NIE-GCN for the recommendation task. 2) To eliminate …
recommendation … And, we propose NIE-GCN for the recommendation task. 2) To eliminate …
Knowledge-aware Multi-view Cross Learning for Edge-based Collaborative Recommendation
Y Dai, S Meng, H Gu, N Liu, L Tu - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
222 天前 - … on the weights provided to different neighbors by the attention mechanism. (… graph
encoder based on Graph Convolutional Networks (GCN) [13] to determine the top-x neighbor …
encoder based on Graph Convolutional Networks (GCN) [13] to determine the top-x neighbor …
Graph Encoding-Enhanced Transformer for Drug Recommendation
X Cai, SA Thamrin, ALP Chen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
224 天前 - … It works by mapping graph representations into feature matrices. The graph
convolutional layer in the model is used to aggregate feature information from neighboring nodes …
convolutional layer in the model is used to aggregate feature information from neighboring nodes …
Sentiment-aware Representation Learning Framework Fusion with Multi-aspect Information for POI Recommendation
W Gong, G Shen, L Yang, H Lian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
225 天前 - … user-POI bipartite graph, we consider performing graph convolution operations
iteratively, ie, aggregating both information propagation from neighbors and self-connection of …
iteratively, ie, aggregating both information propagation from neighbors and self-connection of …
Enhancing graph collaborative filtering via neighborhood structure embedding
238 天前 - … a class of graph convolutional network models equipped … Yang, “Structured
graph convolutional networks with … of graph convolutional networks for recommendation,” in …
graph convolutional networks with … of graph convolutional networks for recommendation,” in …
Enhancing Social Recommendation with Multi-View BERT Network
T Prakash, R Jalan, N Onoe - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
238 天前 - … neighbours with users. The main objective of our model is to predict the next item
that a user would interact with based on its interaction … large graph convolutional networks. In …
that a user would interact with based on its interaction … large graph convolutional networks. In …
Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal
238 天前 - … sampling-based representation learning module removes some irrelevant
neighbors from a user-item bipartite graph and employs a graph convolutional network (GCN) to …
neighbors from a user-item bipartite graph and employs a graph convolutional network (GCN) to …
FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation
238 天前 - … -aware session item representation and session-aware … interactive features to
guide the aggregation of neighbor … SRGNN [12]: applies a gated graph convolutional layer to …
guide the aggregation of neighbor … SRGNN [12]: applies a gated graph convolutional layer to …