Affinity Event
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Instance weighting-based Knowledge Transfer Network for Seismic Fault Detection
Tiash Ghosh · Mohammed Fayiz Parappan · Mamata Jenamani · AUROBINDA ROUTRAY
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Poster
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Wed 11:00
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Deep Homomorphism Networks
Takanori Maehara · Hoang NT
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Poster
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Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song · Jianguo Huang · Wenyu Jiang · Baoming Zhang · Shuangjie Li · Chongjun Wang
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Poster
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Wed 16:30
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Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
Zihan Luo · Hong Huang · Yongkang Zhou · Jiping Zhang · Nuo Chen · Hai Jin
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Poster
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Thu 16:30
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Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
Jiacheng Cen · Anyi Li · Ning Lin · Yuxiang Ren · Zihe Wang · Wenbing Huang
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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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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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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann
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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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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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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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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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