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Poster
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Tue 7:00 |
Nested Subspace Arrangement for Representation of Relational Data Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa |
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Poster
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Tue 7:00 |
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application Wenpin Tang, Xin Guo, Fengmin Tang |
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Poster
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Tue 8:00 |
Working Memory Graphs Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht |
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Poster
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Tue 10:00 |
On the Theoretical Properties of the Network Jackknife Qiaohui Lin, Robert Lunde, Purnamrita Sarkar |
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Poster
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Tue 12:00 |
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Zhitao Ying, Jure Leskovec, Peter Battaglia |
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Poster
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Tue 12:00 |
Learning the piece-wise constant graph structure of a varying Ising model Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis |
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Poster
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Tue 13:00 |
Constant Curvature Graph Convolutional Networks Gregor Bachmann, Gary Becigneul, Octavian Ganea |
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Poster
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Tue 13:00 |
Graph Random Neural Features for Distance-Preserving Graph Representations Daniele Zambon, Cesare Alippi, Lorenzo Livi |
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Poster
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Tue 14:00 |
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel |
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Poster
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Wed 5:00 |
Channel Equilibrium Networks for Learning Deep Representation Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo |
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Poster
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Wed 5:00 |
Learning Quadratic Games on Networks Yan Leng, Xiaowen Dong, Junfeng Wu, Alex `Sandy' Pentland |
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Poster
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Wed 8:00 |
Budgeted Online Influence Maximization Pierre Perrault, Jen Healey, Zheng Wen, Michal Valko |
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Poster
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Wed 8:00 |
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck |
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Poster
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Wed 8:00 |
Inductive Relation Prediction by Subgraph Reasoning Komal Teru, Etienne Denis, Will Hamilton |
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Poster
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Wed 8:00 |
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu |
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Poster
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Wed 11:00 |
Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang |
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Poster
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Wed 11:00 |
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl, Tijl De Bie |
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Poster
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Thu 6:00 |
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
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Poster
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Thu 6:00 |
GraphOpt: Learning Optimization Models of Graph Formation Rakshit Trivedi, Jiachen Yang, Hongyuan Zha |
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Poster
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Thu 6:00 |
Continuous Graph Neural Networks Louis-Pascal Xhonneux, Meng Qu, Jian Tang |
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Poster
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Thu 7:00 |
Graph Structure of Neural Networks Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie |
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Poster
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Thu 7:00 |
On hyperparameter tuning in general clustering problemsm Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang |
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Poster
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Thu 8:00 |
Learning Mixtures of Graphs from Epidemic Cascades Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis |
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Poster
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Thu 8:00 |
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux, Jian Tang |
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Poster
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Thu 9:00 |
Symbolic Network: Generalized Neural Policies for Relational MDPs Sankalp Garg, Aniket Bajpai, Mausam |
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Poster
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Thu 12:00 |
A Flexible Latent Space Model for Multilayer Networks Xuefei Zhang, Songkai Xue, Ji Zhu |
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Poster
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Thu 12:00 |
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann |
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Poster
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Thu 13:00 |
Spectral Clustering with Graph Neural Networks for Graph Pooling Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi |
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Poster
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Thu 17:00 |
Self-Attentive Associative Memory Hung Le, Truyen Tran, Svetha Venkatesh |