Papers
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
Linlin Ding, Zhaosong Zhao, Mo Li et al.
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
Ling Ding, Zhizhi Yu, Di Jin et al.
Delayed Feedback Modeling with Influence Functions
Chenlu Ding, Jiancan Wu, Yancheng Yuan et al.
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
Ryan R. Curtin, Fred Lu, Edward Raff et al.
De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation
Xiaoxi Cui, Chao Zhao, Yurong Cheng et al.
Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness
Wuyang Cong, Junqi Shi, Lizhong Wang et al.
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
Xinghe Cheng, Zihan Zhang, Jiapu Wang et al.
TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology
Zonghao Chen, Yuncheng Jiang, Gang Li
ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning
Yong Chen, Li Li, Nannan Zong et al.
Dual-Kernel Graph Community Contrastive Learning
Xiang Chen, Kun Yue, Wenjie Liu et al.
ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation
Weizhi Chen, Baoyun Peng, Bo Liu et al.
Transform-Free Feature Coding via Entropy-Constrained Vector Quantization
Qiaoxi Chen, Changsheng Gao, Li Li et al.
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
Mingyang Chen, Jiawei Du, Bo Huang et al.
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
Jundong Chen, Honglei Zhang, Chunxu Zhang et al.
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
Guoying Chen, Ruizhuo Zhao, Zhewei Xu et al.
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Qisen Chai, Yansong Wang, Junjie Huang et al.
Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation
Jiajun Cao, Qinggang Zhang, Yunbo Tang et al.
HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression
Junhao Cai, Taegun An, Chengjun Jin et al.
F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
Hanbo Bi, Zhiqiang Yuan, Zexi Jia et al.
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
Oren Barkan, Yahlly Schein, Yehonatan Elisha et al.
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
Youneng Bao, Yulong Cheng, Yiping Liu et al.
NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation
Jun Bao, Junbo Wang, Yiheng Jiang et al.
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage
Haoyue Bai, Guodong Chen, Wangyang Ying et al.
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
Dor Arviv, Yehonatan Elisha, Oren Barkan et al.