activity
20202026
most citedAdaptive Attentional Network for Few-Shot Knowledge Graph Completion

7 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

HyperMem: Hypergraph Memory for Long-Term Conversations

Juwei Yue, Chuanrui Hu, Jiawei Sheng +5

Long-term memory is essential for conversational agents to maintain coherence, track persistent tasks, and provide personalized interactions across extended dialogues. However, exi…

cs.IR2026

S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation

Xiaodong Li, Juwei Yue, Xinghua Zhang +5

User cold-start problem is a long-standing challenge in recommendation systems. Fortunately, cross-domain recommendation (CDR) has emerged as a highly effective remedy for the user…

cs.CL2026

ExpSeek: Self-Triggered Experience Seeking for Web Agents

Wenyuan Zhang, Xinghua Zhang, Haiyang Yu +5

Experience intervention in web agents emerges as a promising technical paradigm, enhancing agent interaction capabilities by providing valuable insights from accumulated experience…

cs.LG2025

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations

Juwei Yue, Haikuo Li, Jiawei Sheng +4

Graph neural networks (GNNs) leverage message passing mechanisms to learn the topological features of graph data. Traditional GNNs learns node features in a spatial domain unrelate…

cs.LG2025

Graph Wave Networks

Juwei Yue, Haikuo Li, Jiawei Sheng +5

Dynamics modeling has been introduced as a novel paradigm in message passing (MP) of graph neural networks (GNNs). Existing methods consider MP between nodes as a heat diffusion pr…

cs.MM2025★ 4 cited

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective

Taoyu Su, Jiawei Sheng, Duohe Ma +5

Multi-Modal Entity Alignment (MMEA) aims to retrieve equivalent entities from different Multi-Modal Knowledge Graphs (MMKGs), a critical information retrieval task. Existing studie…

cs.CL2020★ 7 cited

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

Jiawei Sheng, Shu Guo, Zhenyu Chen +4

Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-shot reference entity pairs. Rece…