Yanping Wu, Renjie Sun, Chen Chen and

Xiaoyang Wang, Qiuyu Zhu

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balanced theory, k-truss, signed graph, support

Ruo-Chun Tzeng, Bruno Ordozgoiti, Aris Gionis

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Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng

Keywords Abstract Paper

Jimit Majmudar, Stephen Vavasis

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Zhiwei Liu, Yingtong Dou, Philip S. Yu and

Yutong Deng, Hao Peng

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graph neural networks, inconsistency problem, fraud detection

Yao Zhang, Yun Xiong, Yun Ye and

Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu

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community detection, reinforcement learning, graph combinatorial optimization, generative adversarial networks

Jiarui Jin, Jiarui Qin, Yuchen Fang and

Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola

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recommender system, heterogeneous information network, neighborhood-based interaction

Dongxiao He, Shuai Li, Di Jin and

Pengfei Jiao, Yuxiao Huang

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Machine Learning Applications, Networks, Graphical Models, Mining Graphs, Semi Structured Data, Complex Data

Guillaume Braun, Hemant Tyagi, Christophe Biernacki

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Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu

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pairwise learning, cross graph, community detection

Zemin Liu, Yuan Fang, Chenghao Liu, Steven C.H. Hoi

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Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang and

Nina Otter, Guido Montufar, Pietro Lió, Michael Bronstein

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Algorithms, Networks and Relational Learning

Xingchen Wan, Henry Kenlay, Robin Ru and

Arno Blaas, Michael A Osborne, Xiaowen Dong

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deep learning, machine learning, robustness, adversarial robustness and security, graph learning

Zilong Bai, S. S. Ravi, Ian Davidson

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explainable artificial intelligence, unsupervised graph analysis, block model

Jian Zhang, Jun Zheng, Jinyin Chen, Qi Xuan

Keywords Abstract Paper

deep learning, subgraph, link prediction, graph neural network, graph classification

Xiahan Shi, Leonard Salewski, Martin Schiegg, Max Welling

Keywords Abstract Paper

few-shot learning, generalized few-shot learning, side information, graph convolution, classification, machine learning

Meng Liu, Hongyang Gao, Shuiwang Ji

Keywords Abstract Paper

graph neural networks, graph representation learning, deep learning

Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He

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transformer model, graph generative model, temporal networks

Xiang Zhang, Marinka Zitnik

Keywords Abstract Paper

Lei Guo, Li Tang, Tong Chen and

Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin

Keywords Abstract Paper

Machine Learning, Recommender Systems, Personalization and User Modeling, Information Retrieval

Wei Jin, Yao Ma, Xiaorui Liu and

Xianfeng Tang, Suhang Wang, Jiliang Tang

Keywords Abstract Paper

graph neural networks, adversarial attacks, robustness in machine learning

Emily Alsentzer, Sam Finlayson, Michelle Li, Marinka Zitnik

Keywords Abstract Paper

Vitaly Kurin, Maximilian Igl, Tim Rocktaeschel and

Wendelin Boehmer, Shimon Whiteson

Keywords Abstract Paper

Incompatible Environments, Continuous Control, Multitask Reinforcement Learning, Deep Reinforcement Learning, Graph Neural Networks

Dongsheng Luo, Yuchen Bian, Yaowei Yan and

Xiao Liu, Jun Huan, Xiang Zhang

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local community detection, complex network, random walk

Carl Yang, Haonan Wang, Ke Zhang and

Liang Chen, Lichao Sun

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Machine Learning, Learning Generative Models, Mining Graphs, Semi Structured Data, Complex Data, Privacy Preserving Data Mining

Muhan Zhang, Pan Li, Yinglong Xia and

Kai Wang, Long Jin

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theory, deep learning, graph learning, representation learning

Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna

Keywords Abstract Paper

Deli Chen, Yankai Lin, Guangxiang Zhao and

Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Keywords Abstract Paper

deep learning, machine learning, graph learning, semi-supervised learning

Clément Vignac, Andreas Loukas, Pascal Frossard

Keywords Abstract Paper

Algorithms -> Similarity and Distance Learning, Theory -> Information Theory

Chanyoung Park, Carl Yang, Qi Zhu and

Donghyun Kim, Hwanjo Yu, Jiawei Han

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representation learning, network embedding, graph mining

Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang

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Junyang Chen, Zhiguo Gong, Xiao Dong and

Wei Wang, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen

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Zilong Bai, Hoa Nguyen, Ian Davidson

Keywords Abstract Paper

unsupervised feature selection, attributed networks, block model

Bay-Yuan Hsu, Chia-Lin Tu, Ming-Yi Chang, Chih-Ya She

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Yuchen Wu, Jakab Tardos, Mohammadhossein Bateni and

André Linhares, Filipe Miguel Goncalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard

Keywords Abstract Paper

Steinar Laenen, He Sun

Keywords Abstract Paper

Zhiping Lin, Zhao Kang

Keywords Abstract Paper

Machine Learning, Clustering, Multi-instance; Multi-label; Multi-view learning, Clustering, Unsupervised Learning

Mucong Ding, Kezhi Kong, Jingling Li and

Chen Zhu, John P Dickerson, Furong Huang, Tom Goldstein

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deep learning, machine learning, generative model, graph learning

Derek Lim, Felix Hohne, Xiuyu Li and

Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser Nam Lim

Keywords Abstract Paper

deep learning, machine learning, graph learning

Lin Lan, Pinghui Wang, Xuefeng Du and

Kaikai Song, Jing Tao, Xiaohong Guan

Keywords Abstract Paper

Algorithms -> Active Learning; Deep Learning -> Deep Autoencoders, Deep Learning -> Generative Models