most citedCollaborative Graph Neural Networks for Attributed Network Embedding

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2024

Feedback Reciprocal Graph Collaborative Filtering

Weijun Chen, Yuanchen Bei, Qijie Shen +3

Collaborative filtering on user-item interaction graphs has achieved success in the industrial recommendation. However, recommending users' truly fascinated items poses a seesaw di…

cs.CV2024

-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

Xiang Li, Kai Qiu, Jinglu Wang +6

Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the…

cs.LG2023★ 1 cited

Collaborative Graph Neural Networks for Attributed Network Embedding

Qiaoyu Tan, Xin Zhang, Xiao Huang +3

Graph neural networks (GNNs) have shown prominent performance on attributed network embedding. However, existing efforts mainly focus on exploiting network structures, while the ex…