Juanhui Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data	2024	Juanhui Li Sreyashi Nag Liu Hui Xianfeng Tang Sheikh Muhammad Sarwar Limeng Cui Hansu Gu Suhang Wang Qi He Jiliang Tang
+ PDF Chat	LPFormer: An Adaptive Graph Transformer for Link Prediction	2024	Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang
+ PDF Chat	Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach	2024	Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Luo Chen Hui Liu Jiliang Tang
+ PDF Chat	Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation	2024	Juanhui Li Haoyu Han Zhikai Chen Harry Shomer Wei Jin Amin Javari Jiliang Tang
+ PDF Chat	Mixture of Link Predictors	2024	Li Ma Haoyu Han Juanhui Li Harry Shomer Hui Liu Xiaofeng Gao Jiliang Tang
+	Learning Representations for Hyper-Relational Knowledge Graphs	2023	Harry Shomer Wei Jin Juanhui Li Yao Ma Hui Liu
+	Graph Enhanced BERT for Query Understanding	2023	Juanhui Li Wei Zeng Suqi Cheng Yao Ma Jiliang Tang Shuaiqiang Wang Dawei Yin
+	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking	2023	Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin
+	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?	2023	Juanhui Li Harry Shomer Jiayuan Ding Yiqi Wang Yao Ma Neil Shah Jiliang Tang Dawei Yin
+	Revisiting Link Prediction: A Data Perspective	2023	Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang
+	Adaptive Pairwise Encodings for Link Prediction	2023	Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang
+	Distance-Based Propagation for Efficient Knowledge Graph Reasoning	2023	Harry Shomer Yao Ma Juanhui Li Bo Wu Charų C. Aggarwal Jiliang Tang
+ PDF Chat	Distance-Based Propagation for Efficient Knowledge Graph Reasoning	2023	Harry Shomer Yao Ma Juanhui Li Bo Wu Charų C. Aggarwal Jiliang Tang
+	Graph Enhanced BERT for Query Understanding	2022	Juanhui Li Yao Ma Wei Zeng Suqi Cheng Jiliang Tang Shuaiqiang Wang Dawei Yin
+	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?	2022	Juanhui Li Harry Shomer Jiayuan Ding Yiqi Wang Yao Ma Neil Shah Jiliang Tang Dawei Yin

Common Coauthors

Coauthor	Papers Together
Jiliang Tang	14
Harry Shomer	11
Yao Ma	7
Neil Shah	4
Yao Ma	4
Dawei Yin	4
Haitao Mao	3
Shuaiqiang Wang	2
Suqi Cheng	2
Bo Wu	2
Haoyu Han	2
Bo Wu	2
Yiqi Wang	2
Charų C. Aggarwal	2
Xianfeng Tang	2
Jiayuan Ding	2
Hui Liu	2
Luo Chen	1
Wei Jin	1
Wei Zeng	1
Hui Liu	1
Qi He	1
Dawei Yin	1
Haoyu Han	1
Xiaofeng Gao	1
Wei Huang	1
Zhikai Chen	1
Suhang Wang	1
Amin Javari	1
Liu Hui	1
Tong Zhao	1
Wenqi Fan	1
Li Ma	1
Limeng Cui	1
Bingheng Li	1
Sreyashi Nag	1
Haitao Mao	1
Hansu Gu	1
Shenglai Zeng	1
Sheikh Muhammad Sarwar	1
Hanqing Lu	1
Wei Zeng	1
Wei Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction	2021	Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang	4
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	3
+	Pure Transformers are Powerful Graph Learners	2022	Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong	2
+	Strong Localization in Personalized PageRank Vectors	2015	Huda Nassar Kyle Kloster David F. Gleich	2
+ PDF Chat	Adaptively Sparse Transformers	2019	Gonçalo M. Correia Vlad Niculae André F. T. Martins	2
+	Rethinking Graph Transformers with Spectral Attention	2021	Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou	2
+	Composition-based Multi-Relational Graph Convolutional Networks	2019	Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha Talukdar	2
+ PDF Chat	DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning	2017	Wenhan Xiong Thien Hoang William Yang Wang	2
+ PDF Chat	Selective Attention for Context-aware Neural Machine Translation	2019	Sameen Maruf André F. T. Martins Gholamreza Haffari	2
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2018	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	2
+ PDF Chat	Multi-Scale attributed node embedding	2021	Benedek Rózemberczki Carl Allen Rik Sarkar	2
+ PDF Chat	Predicting missing links via local information	2009	Tao Zhou Linyuan Lü Yi‐Cheng Zhang	2
+	A Retrieve-and-Read Framework for Knowledge Graph Link Prediction	2023	Vardaan Pahuja B Wang Hugo Latapie Jayanth Srinivasa Yu Su	2
+ PDF Chat	Clustering and preferential attachment in growing networks	2001	M. E. J. Newman	2
+ PDF Chat	HittER: Hierarchical Transformers for Knowledge Graph Embeddings	2021	Sanxing Chen Xiaodong Liu Jianfeng Gao Jian Jiao Ruofei Zhang Yangfeng Ji	2
+ PDF Chat	The heat kernel as the pagerank of a graph	2007	Fan Chung	2
+	NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification	2023	Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan	2
+	Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning	2020	Pan Li Yanbang Wang Hongwei Wang Jure Leskovec	2
+	Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction	2022	Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim	2
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	2
+ PDF Chat	Knowledge Graph Reasoning with Relational Digraph	2022	Yongqi Zhang Quanming Yao	2
+	Recipe for a General, Powerful, Scalable Graph Transformer	2022	Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini	2
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	2
+	A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs	2022	Zhaocheng Zhu Xinyu Yuan Louis-Pascal Xhonneux Ming Zhang Maxime Gazeau Jian Tang	2
+	On the Equivalence between Positional Node Embeddings and Structural Graph Representations	2019	Balasubramaniam Srinivasan Bruno Ribeiro	1
+	Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs	2020	Woojeong Jin Meng Qu Xisen Jin Xiang Ren	1
+	CoDEx: A Comprehensive Knowledge Graph Completion Benchmark	2020	Tara Safavi Danai Koutra	1
+	Open Graph Benchmark: Datasets for Machine Learning on Graphs	2020	Weihua Hu Matthias Fey Marinka Žitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta Jure Leskovec	1
+ PDF Chat	Evolution of the social network of scientific collaborations	2002	Albert‐László Barabási Hawoong Jeong Zoltán Néda Erzsébet Ravasz Regan A. Schubert Tamás Vicsek	1
+ PDF Chat	Communicative Message Passing for Inductive Relation Reasoning	2021	Sijie Mai Shuangjia Zheng Yuedong Yang Haifeng Hu	1
+	Knowledge Embedding Based Graph Convolutional Network	2021	Donghan Yu Yiming Yang Ruohong Zhang Yuexin Wu	1
+	MLP-Mixer: An all-MLP Architecture for Vision	2021	Ilya Tolstikhin Neil Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai Thomas Unterthiner Jessica Yung Andreas Steiner Daniel Keysers Jakob Uszkoreit	1
+	GraphiT: Encoding Graph Structure in Transformers	2021	Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal	1
+ PDF Chat	Pre-trained Language Model based Ranking in Baidu Search	2021	Lixin Zou Shengqiang Zhang Hengyi Cai Dehong Ma Suqi Cheng Shuaiqiang Wang Daiting Shi Zhicong Cheng Dawei Yin	1
+	From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness	2021	Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah	1
+	Graph Condensation for Graph Neural Networks	2021	Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah	1
+	Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation	2021	Shichang Zhang Yozen Liu Yizhou Sun Neil Shah	1
+ PDF Chat	Rethinking Graph Convolutional Networks in Knowledge Graph Completion	2022	Zhanqiu Zhang Jie Wang Jieping Ye Feng Wu	1
+	How Attentive are Graph Attention Networks?	2021	Shaked Brody Uri Alon Eran Yahav	1
+	NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs	2021	Mikhail Galkin Etienne Denis Jiapeng Wu William L. Hamilton	1
+	A Unified View on Graph Neural Networks as Graph Signal Denoising	2020	Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah	1
+	Selective Attention for Context-aware Neural Machine Translation	2019	Sameen Maruf André F. T. Martins Gholamreza Haffari	1
+	Learning Sequence Encoders for Temporal Knowledge Graph Completion	2018	Alberto García-Durán Sebastijan Dumančić Mathias Niepert	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Graph Neural Networks for Link Prediction with Subgraph Sketching	2022	Benjamin Paul Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Hammerla Michael M. Bronstein Max Hansmire	1
+	NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs	2022	Jinsong Chen Kaiyuan Gao Gaichao Li Kun He	1
+	Neural Common Neighbor with Completion for Link Prediction	2023	Xiyuan Wang Haotong Yang Muhan Zhang	1
+	Attending to Graph Transformers	2023	Luis T. Díaz Müller Mikhail Galkin Christopher G. Morris Ladislav Rampášek	1
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	1