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孙怡舟
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- unicode name: 孙怡舟
- affiliation: University of California, Los Angeles, CA, USA
- affiliation (former): Northeastern University, Boston, USA
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2020 – today
- 2023
[i80]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023)- [i79]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR abs/2303.03581 (2023) - 2022
- [j26]Ziheng Duan
, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang:
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154: 481-490 (2022) - [j25]Kewei Cheng, Xian Li, Yifan Xu, Xin Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15(6): 1288-1296 (2022) - [j24]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j23]Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j22]Yue Hu, Xu Li, Xuan Dong, Dong Kong, Qimin Xu, Yizhou Sun:
A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j21]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022) - [c132]Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. AAAI 2022: 3939-3948 - [c131]Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun:
Unsupervised Adversarially Robust Representation Learning on Graphs. AAAI 2022: 4290-4298 - [c130]Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang:
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. AAAI 2022: 4299-4307 - [c129]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c128]Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun:
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). AAAI 2022: 13029-13030 - [c127]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) 2022: 474-485 - [c126]Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. CIKM 2022: 852-861 - [c125]Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. CIKM 2022: 3202-3211 - [c124]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated accelerator optimization aided by graph neural networks. DAC 2022: 55-60 - [c123]Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong:
Improving GNN-based accelerator design automation with meta learning. DAC 2022: 1347-1350 - [c122]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c121]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA 2022: 50 - [c120]Yizhou Sun, Ya Zhang:
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. ICARCV 2022: 778-783 - [c119]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c118]Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun:
RLogic: Recursive Logical Rule Learning from Knowledge Graphs. KDD 2022: 179-189 - [c117]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD 2022: 676-686 - [c116]Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) 2022: 155-171 - [i78]Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR abs/2201.04194 (2022) - [i77]Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR abs/2201.12380 (2022) - [i76]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR abs/2202.09747 (2022) - [i75]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. CoRR abs/2203.03549 (2022) - [i74]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR abs/2203.14987 (2022) - [i73]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR abs/2205.09797 (2022) - [i72]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i71]Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang:
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. CoRR abs/2207.10305 (2022) - [i70]Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun:
Detecting Political Biases of Named Entities and Hashtags on Twitter. CoRR abs/2209.08110 (2022) - [i69]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. CoRR abs/2209.08767 (2022) - [i68]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR abs/2210.08203 (2022) - [i67]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. CoRR abs/2210.08332 (2022) - [i66]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Learning Probabilities of Causation from Finite Population Data. CoRR abs/2210.08453 (2022) - [i65]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR abs/2211.08380 (2022) - [i64]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. CoRR abs/2211.08402 (2022) - [i63]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - [i62]Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun:
Dissimilar Nodes Improve Graph Active Learning. CoRR abs/2212.01968 (2022) - [i61]Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos:
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. CoRR abs/2212.02575 (2022) - [i60]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - 2021
- [j20]Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang:
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 169-179 (2021) - [c115]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. AAAI 2021: 14647-14655 - [c114]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. EMNLP (Findings) 2021: 3431-3448 - [c113]Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun:
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. EMNLP (1) 2021: 9753-9771 - [c112]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. ICDE 2021: 912-923 - [c111]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. ICDE 2021: 2677-2680 - [c110]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. ICDM 2021: 1126-1131 - [c109]Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang:
GLSearch: Maximum Common Subgraph Detection via Learning to Search. ICML 2021: 588-598 - [c108]Zijie Huang, Yizhou Sun, Wei Wang:
Coupled Graph ODE for Learning Interacting System Dynamics. KDD 2021: 705-715 - [c107]Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang:
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. KDD 2021: 2946-2954 - [c106]Song Jiang, Bernard Koch, Yizhou Sun:
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. WWW 2021: 3158-3167 - [e3]Huajun Chen, Kang Liu, Yizhou Sun, Suge Wang, Lei Hou:
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers. Communications in Computer and Information Science 1356, Springer 2021, ISBN 978-981-16-1963-2 [contents] - [i59]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. CoRR abs/2103.00562 (2021) - [i58]Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. CoRR abs/2103.04283 (2021) - [i57]Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang:
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. CoRR abs/2103.08115 (2021) - [i56]Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang:
Clinical Named Entity Recognition using Contextualized Token Representations. CoRR abs/2106.12608 (2021) - [i55]Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic based Logical Query Answering on Knowledge Graph. CoRR abs/2108.02390 (2021) - [i54]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. CoRR abs/2109.10346 (2021) - [i53]Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster:
Deep Learning of Potential Outcomes. CoRR abs/2110.04442 (2021) - [i52]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR abs/2110.08727 (2021) - [i51]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. CoRR abs/2110.15064 (2021) - [i50]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. CoRR abs/2111.08848 (2021) - 2020
- [j19]Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu:
Finding key players in complex networks through deep reinforcement learning. Nat. Mach. Intell. 2(6): 317-324 (2020) - [j18]Heli Sun, Fang He, Jianbin Huang, Yizhou Sun, Yang Li, Chenyu Wang, Liang He, Zhongbin Sun, Xiaolin Jia:
Network Embedding for Community Detection in Attributed Networks. ACM Trans. Knowl. Discov. Data 14(3): 36:1-36:25 (2020) - [c105]Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang:
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI 2020: 3219-3226 - [c104]Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. BCB 2020: 42:1-42:10 - [c103]Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang:
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2020: 2517-2524 - [c102]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. EMNLP (Findings) 2020: 3227-3238 - [c101]Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [c100]Ting Chen, Lala Li, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. ICML 2020: 1617-1626 - [c99]Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. IJCAI 2020: 4861-4867 - [c98]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. KDD 2020: 1857-1867 - [c97]Zongyue Qin, Yunsheng Bai, Yizhou Sun:
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases. KDD 2020: 2062-2072 - [c96]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. KDD 2020: 2258-2268 - [c95]Zijie Huang, Yizhou Sun, Wei Wang:
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. NeurIPS 2020 - [c94]Yizhou Sun:
Graph Neural Networks for Graph Search. GRADES-NDA@SIGMOD 2020: 1:1 - [c93]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. WWW 2020: 2704-2710 - [i49]Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang:
Fast Detection of Maximum Common Subgraph via Deep Q-Learning. CoRR abs/2002.03129 (2020) - [i48]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. CoRR abs/2003.01332 (2020) - [i47]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i46]Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich:
Software Language Comprehension using a Program-Derived Semantic Graph. CoRR abs/2004.00768 (2020) - [i45]Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang:
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR abs/2005.07115 (2020) - [i44]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. CoRR abs/2006.01321 (2020) - [i43]Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang:
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. CoRR abs/2006.14002 (2020) - [i42]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. CoRR abs/2006.15437 (2020) - [i41]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. CoRR abs/2010.03158 (2020) - [i40]Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang:
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR abs/2010.05649 (2020) - [i39]Zijie Huang, Yizhou Sun, Wei Wang:
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. CoRR abs/2011.03880 (2020) - [i38]Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu:
Unsupervised Adversarially-Robust Representation Learning on Graphs. CoRR abs/2012.02486 (2020) - [i37]Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu:
Query-free Black-box Adversarial Attacks on Graphs. CoRR abs/2012.06757 (2020) - [i36]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. CoRR abs/2012.08790 (2020) - [i35]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. CoRR abs/2012.10024 (2020) - [i34]Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun:
Motif-Driven Contrastive Learning of Graph Representations. CoRR abs/2012.12533 (2020)
2010 – 2019
- 2019
- [j17]Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao:
Abstract cost models for distributed data-intensive computations. Distributed Parallel Databases 37(3): 411-439 (2019) - [j16]Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Shaojie Qiao, Stephen Manko Wambura:
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 13(6): 64:1-64:33 (2019) - [c92]Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. AAAI 2019: 192-199 - [c91]Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. AAAI 2019: 3363-3370 - [c90]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. ACL (1) 2019: 4102-4112 - [c89]Xiao Yang, Seungbae Kim, Yizhou Sun:
How do influencers mention brands in social media?: sponsorship prediction of Instagram posts. ASONAM 2019: 101-104 - [c88]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CIKM 2019: 559-568 - [c87]Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu:
Understanding Default Behavior in Online Lending. CIKM 2019: 2043-2052 - [c86]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI 2019: 1988-1994 - [c85]Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang:
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. KDD 2019: 1709-1719 - [c84]Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. NeurIPS 2019: 11247-11256 - [c83]Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM 2019: 384-392 - [e2]Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang:
Web Information Systems Engineering - WISE 2019 - 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings. Lecture Notes in Computer Science 11881, Springer 2019, ISBN 978-3-030-34222-7 [contents] - [i33]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR abs/1904.01098 (2019) - [i32]Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang:
Learning Fair Representations via an Adversarial Framework. CoRR abs/1904.13341 (2019) - [i31]Ting Chen, Song Bian, Yizhou Sun:
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. CoRR abs/1905.04579 (2019) - [i30]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CoRR abs/1905.10418 (2019) - [i29]Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR abs/1905.13728 (2019) - [i28]