Papers
HGMP: Heterogeneous Graph Multi-Task Prompt Learning
Pengfei Jiao, Jialong Ni, Di Jin et al.
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation
Hongru Ji, Xianghua Li, Mingxin Li et al.
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
Cheng Ji, Chenrui He, Qian Li et al.
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
Zhirong Huang, Debo Cheng, Lin Liu et al.
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
Lei Hu, Zhiyong Gan, Ling Deng et al.
Soft Reasoning Paths for Knowledge Graph Completion
Yanning Hou, Sihang Zhou, Ke Liang et al.
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process
Dongpeng Hou, Wenfei Wei, Chao Gao et al.
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization
Dongpeng Hou, Yuchen Wang, Chao Gao et al.
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs
Yifan Hong, Muhammad Asif Ali, Huan Wang et al.
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
Xiaobin Hong, Mingkai Lin, Xiangkai Ma et al.
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
Yiming He, Xiang Li, Zhongying Zhao et al.
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender
Xiangfu He, Qiyao Peng, Minglai Shao et al.
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
Wenying He, Jieling Huang, Junhua Gu et al.
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
Xinyan Hao, Huaiyu Wan, Shengnan Guo et al.
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU
Shuxi Guo, Zikang Xu, Jiahao Liu et al.
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
Ronghui Guo, Xiaowang Zhang, Zhizhi Yu et al.
Enabling Visual Foundation Models to Teach Compact Students via Mixture of Distillation
Xinye Yang, Shang Wang, Li Luking et al.
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better
Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
Jiawei Gu, Ziyue Qiao, Xiao Luo
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Nanxu Gong, Xinyuan Wang, Wangyang Ying et al.
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding
Hepeng Gao, Funing Yang, Yongjian Yang et al.
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
Zhengzhao Feng, Rui Wang, Longjiao Zhang et al.
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
Bingdao Feng, Di Jin, Xiaobao Wang et al.
Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry
Xiaocong Du, Haoyu Pei, Haipeng Zhang
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation
Rui Dong, Jiaxing Li, Weihuang Zheng et al.