Yiqi Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Graph Representation

Message Passing

Top Venues

ACM Trans. Knowl. Discov. Data

IEEE Trans. Knowl. Data Eng.

Publications

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
Dual Test-time Training for Out-of-distribution Recommender System. CoRR (2024)
Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruicaho Ren, En Zhu, Xinwang Liu
Test-Time Training on Graphs with Large Language Models (LLMs). CoRR (2024)
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR (2023)
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41 (2) (2023)
Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li
Recommender Systems in the Era of Large Language Models (LLMs). CoRR (2023)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. SIGIR (2023)
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) (2023)
Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
Customized Graph Nerual Networks. IEEE Data Eng. Bull. 46 (2) (2023)
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
STRec: Sparse Transformer for Sequential Recommendations. RecSys (2023)
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
A Comprehensive Survey on Trustworthy Recommender Systems. CoRR (2022)
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
Test-Time Training for Graph Neural Networks. CoRR (2022)
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML (2022)
Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR (2022)
Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
Graph Neural Networks for Multimodal Single-Cell Data Integration. KDD (2022)
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
Localized Graph Collaborative Filtering. SDM (2022)
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
Localized Graph Collaborative Filtering. CoRR (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. ICML (2021)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. WSDM (2021)
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. CoRR (2021)
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD (2021)
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
Gophormer: Ego-Graph Transformer for Node Classification. CoRR (2021)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. CoRR (2021)
Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW (2020)
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR (2020)
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) (2020)
Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
Graph Pooling with Representativeness. ICDM (2020)
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Deep Graph Learning: Foundations, Advances and Applications. KDD (2020)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. CoRR (2020)
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22 (2) (2020)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM (2020)
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR (2020)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Graph Convolutional Networks against Degree-Related Biases. CoRR (2020)
Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR (2020)
Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Non-IID Graph Neural Networks. CoRR (2020)
Yiqi Wang, En Zhu, Qiang Liu, Yingwen Chen, Jianping Yin
Exploration of Human Activities Using Sensing Data via Deep Embedded Determination. WASA (2018)
Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
Deep Embedding for Determining the Number of Clusters. AAAI (2018)
Zhan Shi, Kai Lu, Xiaoping Wang, Wenzhe Zhang, Yiqi Wang
Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory. NPC (2016)