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33rd ICANN 2024: Lugano, Switzerland - Part V
- Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15020, Springer 2024, ISBN 978-3-031-72343-8
Graph Neural Networks
- Melvin Ciurletti, Anna-Lena von Behren, Jannik Bühring, Sebastian Otte:
3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks. 3-17 - Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang:
Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network. 18-32 - Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo:
Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. 33-47 - Peiyu Liang, Hongchang Gao, Xubin He:
CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis. 48-63 - Gaohang Jiang, Xu Jin, Mengyu Luo, Jianxia Chen, Zhongwei Huang, Jing Wang:
ComMGAE: Community Aware Masked Graph AutoEncoder. 64-78 - Yangjie Xu, Hui Huang, Radu State:
CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph. 79-92 - Xiao Yue, Bo Liu, Feng Zhang, Guangzhi Qu:
Edged Weisfeiler-Lehman Algorithm. 93-109 - Georgia Kapetadimitri, Dimitrios Hristu-Varsakelis:
Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features. 110-125 - Nan Gao, Yongjian Wang, Peng Chen, Xin Zheng:
Graph-Guided Multi-view Text Classification: Advanced Solutions for Fast Inference. 126-142 - Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu:
Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. 143-158 - Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang:
Key Substructure-Driven Backdoor Attacks on Graph Neural Networks. 159-174 - Zhuoqing Chang, Shubo Liu, Zhaohui Cai, Guoqing Tu:
Missing Data Imputation via Neighbor Data Feature-Enriched Neural Ordinary Differential Equations. 175-189 - Yachao Yang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Baocai Yin:
Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks. 190-201 - Zehua He, Qingjiang Shi, Zhongxiang Wei, Ya Tu, Lantu Guo:
STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting. 202-216 - Ranhui Yan, Jia Cai:
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation. 217-231
Large Language Models
- Zhangquan Chen, Chunjiang Liu, Haobin Duan:
A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Education Context. 235-250 - Yihao Li, Ru Zhang, Jianyi Liu:
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. 251-265 - Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti:
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. 266-276 - Jieying Xue, Minh-Phuong Nguyen, Blake Matheny, Le-Minh Nguyen:
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks. 277-292 - Bo Li, Shuang Fan, Jin Huang:
CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models. 293-307 - Duanxiao Song, Dehong Gao, Gongshen Liu, Xiaoyong Li:
FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding. 308-323 - Liang Liu, Dong Zhang, Suyang Zhu, Shoushan Li:
Generative Chain-of-Thought for Zero-Shot Cognitive Reasoning. 324-339 - Hiroaki Yamane:
Generic Joke Generation with Moral Constraints. 340-355 - Xuan Zhang, Chunyu Wei, Ruyu Yan, Yushun Fan, Zhixuan Jia:
Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation. 356-370 - Jintao Yang, Yushan Tan, Wenpeng Hu, Zonghao Yang, Xian Zhou, Zhunchen Luo, Wei Luo:
REM: A Ranking-Based Automatic Evaluation Method for LLMs. 371-385 - Jiajia Li, Lu Yang, Letian Peng, Shitou Zhang, Ping Wang, Zuchao Li, Hai Zhao:
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management. 386-401 - Zhenyu Xu, Victor S. Sheng:
Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models. 402-416 - Gang Zhang, Xiaowei Fan, Jingquan Fang, Yanna Sun, Xiayang Shi, Chunyang Lu:
Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach. 417-434
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