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Poster
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Wed 16:30
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DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
ZEYU ZHANG · Lu Li · Shuyan Wan · Wang · Zhiyi Wang · Zhiyuan Lu · Dong Hao · Wanli Li
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Workshop
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Reaction Graph Networks for Inorganic Synthesis Condition Prediction of Solid State Materials
Thorben Prein · Fuzhan Rahmanian · Kesava Prasad Sanjivi Arul · Jasmin El-Wafi · Menelaos Fotiadis · Jan Heimann · Paul Weinmann · Yifei Duan · Elton Pan · Elsa Olivetti · Jennifer Rupp
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Poster
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Wed 16:30
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Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
Xuyuan Liu · Yinghao Cai · Qihui Yang · Yujun Yan
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Workshop
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Structure Based Dataset on SAT Solving with Graph Neural Networks
Yi Fu · Anthony Tompkins · Yang Song · Maurice Pagnucco
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Workshop
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ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network
Masmoudi · Xuyang Li · Nizar Lajnef · Vishnu Boddeti
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Workshop
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Sat 9:20
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MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Mueller · Carlo Curino · Raghu Ramakrishnan
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Workshop
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Invariant Graphon Networks: Approximation and Cut Distance
Daniel Herbst · Stefanie Jegelka
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Workshop
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Affinity Event
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Solving Kuramoto Oscillator Model using Physics Informed Neural Network
Alif Bin Abdul Qayyum · A Abeer
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Poster
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Wed 11:00
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The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker · Chester Tan · Ingo Scholtes
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Workshop
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Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
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