Ao Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	Heterophilous distribution propagation for Graph Neural Networks	2024	Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu
+ PDF Chat	Heterophilous Distribution Propagation for Graph Neural Networks	2024	Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu
+ PDF Chat	Heterophilous Distribution Propagation for Graph Neural Networks	2024	Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu
+ PDF Chat	Automatic Horizontal Fusion for GPU Kernels	2022	Ao Li Bojian Zheng Gennady Pekhimenko Fan Long
+	Detecting Standard Violation Errors in Smart Contracts	2018	Ao Li Fan Long

Common Coauthors

Coauthor	Papers Together
Jiajun Bu	3
Yuhong Li	3
Hongjia Xu	3
Yilun Xu	3
Jingjun Gu	3
Zhuonan Zheng	2
Ming Gu	2
Sheng Zhou	2
Ming Gu	1
Bojian Zheng	1
Zhuonan Zheng	1
Fan Long	1
Fan Long	1
Sheng Zhou	1
Gennady Pekhimenko	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Link prediction in complex networks: A survey	2010	Linyuan Lü Tao Zhou	1
+ PDF Chat	ContractFuzzer: fuzzing smart contracts for vulnerability detection	2018	Bo Jiang Ye Liu W.K. Chan	1
+	Learning deep representations by mutual information estimation and maximization	2018	R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio	1
+ PDF Chat	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications	2018	Hongyun Cai Vincent W. Zheng Kevin Chen–Chuan Chang	1
+	Finding The Greedy, Prodigal, and Suicidal Contracts at Scale	2018	Ivica Nikolić Aashish Kolluri Ilya Sergey Prateek Saxena Aquinas Hobor	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Exploiting the laws of order in smart contracts	2019	Aashish Kolluri Ivica Nikolić Ilya Sergey Aquinas Hobor Prateek Saxena	1
+ PDF Chat	VeriSolid: Correct-by-Design Smart Contracts for Ethereum	2019	Anastasia Mavridou Áron Lászka Emmanouela Stachtiari Abhishek Dubey	1
+	Geom-GCN: Geometric Graph Convolutional Networks	2020	Hongbin Pei Bingzhe Wei Kevin Chen–Chuan Chang Yu Lei Bo Yang	1
+	Prototypical Contrastive Learning of Unsupervised Representations	2020	Junnan Li Pan Zhou Caiming Xiong Richard Socher Steven C. H. Hoi	1
+	Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning	2020	Pan Li Yanbang Wang Hongwei Wang Jure Leskovec	1
+	Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs	2020	Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra	1
+ PDF Chat	Node Similarity Preserving Graph Convolutional Networks	2021	Wei Jin Tyler Derr Yiqi Wang Yao Ma Zitao Liu Jiliang Tang	1
+ PDF Chat	Beyond Low-frequency Information in Graph Convolutional Networks	2021	Deyu Bo Xiao Wang Chuan Shi Huawei Shen	1
+	Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding	2021	Yuheng Lu Jinpeng Chen Chuxiong Sun Jie Hu	1
+	Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns	2021	Susheel Suresh Vinith Budde Jennifer Neville Li Pan Jianzhu Ma	1
+ PDF Chat	Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering	2022	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang	1
+ PDF Chat	A Comprehensive Survey on Graph Anomaly Detection With Deep Learning	2021	Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu	1
+ PDF Chat	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily	2022	Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang	1
+	AdaGNN	2021	Yushun Dong Kaize Ding Brian Jalaian Shuiwang Ji Jundong Li	1
+ PDF Chat	BotRGCN	2021	Shangbin Feng Herun Wan Ningnan Wang Minnan Luo	1
+	Graph Neural Networks for Graphs with Heterophily: A Survey	2022	Xin Zheng Yixin Liu Shirui Pan Miao Zhang Di Jin Philip S. Yu	1
+	Modularity-aware graph autoencoders for joint community detection and link prediction	2022	Guillaume Salha Johannes F. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis	1
+ PDF Chat	Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples	2022	Wei Duan Junyu Xuan Maoying Qiao Jie Lü	1
+	Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods	2021	Derek Lim Felix Höhne Xiuyu Li Sijia Linda Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim	1
+	Adaptive Universal Generalized PageRank Graph Neural Network	2020	Eli Chien Jianhao Peng Pan Li Olgica Milenković	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+ PDF Chat	Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification	2022	Yoonhyuk Choi Jiho Choi Taewook Ko Hyungho Byun Chong-kwon Kim	1
+	Revisiting Heterophily For Graph Neural Networks	2022	Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiao-Wen Chang Doina Precup	1
+ PDF Chat	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating	2023	Yixin Liu Yizhen Zheng Daokun Zhang Vincent C. S. Lee Shirui Pan	1
+ PDF Chat	Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering	2023	Shouheng Li Dongwoo Kim Qing Wang	1
+ PDF Chat	Permutation Equivariant Graph Framelets for Heterophilous Graph Learning	2024	Jianfei Li Ruigang Zheng Feng Han Ming Li Xiaosheng Zhuang	1
+ PDF Chat	Layer-diverse Negative Sampling for Graph Neural Networks	2024	Wei Duan Jie Lü Yu Guang Wang Junyu Xuan	1
+ PDF Chat	How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing	2024	Keke Huang Yu Guang Wang Ming Li and Pietro Liò	1