HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, Nitesh V Chawla
Poster
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen
Poster
Efficiency of the Generalized Second-Price Auction for Value Maximizers
Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Poster
Link Recommendation to Augment Influence Diffusion with Provable Guarantees
Xiaolong Chen, Yifan Song, Jing Tang
Oral
Dual Box Embeddings for the Description Logic EL++
Mathias Jackermeier, Jiaoyan Chen, Ian Horrocks
Oral
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation
Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim
Poster
HSDirSniper: A New Attack Exploiting Vulnerabilities in Tor's Hidden Service Directories
Qingfeng Zhang, Zhiyang Teng, Xuebin Wang, Yue Gao, Qingyun Liu, Jinqiao Shi
Poster
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting
Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang
Poster
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
Poster
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
Songhao Wu, Quan Tu, Hong Liu, Xu Jia, Zhongyi Liu, Guannan Zhang, Ran Lucien Wang, Xiuying Chen, Rui Yan
Poster
An In-depth Investigation of User Response Simulation for Conversational Search
Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai
Oral
Cooperative Classification and Rationalization for Graph Generalization
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
Poster
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs
Gu Hengnian, Zhiyi Duan, Pan Xie, Dongdai Zhou
Poster
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
Poster
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
Xu Huang, Jianxun Lian, Eric Wang, Hao Liao, Defu Lian, Xing Xie
Poster
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Poster
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Oral
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang, Rui Xue, Wenqi Fan, Xu Xin, Qing Li, Jian Pei, Xiaorui Liu
Poster
T$^3$RD: Test-Time Training for Rumor Detection on Social Media
Huaiwen Zhang, Xin xin Liu, Qing Yang, Yang Yang, Fan Qi, Shengsheng Qian, Changsheng Xu
Oral
Dynamic Multi-Network Mining of Tensor Time Series
Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai
Oral