firstbacksecondback
465 Results
|
Poster
|
Fri 11:00 |
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module Jingbo Zhou · Yixuan Du · Ruqiong Zhang · Jun Xia · Zhizhi Yu · Zelin Zang · Di Jin · Carl Yang · Rui Zhang · Stan Z. Li |
|
|
Poster
|
Wed 16:30 |
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 |
|
|
Poster
|
Thu 16:30 |
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen · Anyi Li · Ning Lin · Yuxiang Ren · Zihe Wang · Wenbing Huang |
|
|
Workshop
|
Sat 10:45 |
Towards characterizing the value of edge embeddings in Graph Neural Networks Dhruv Rohatgi · Tanya Marwah · Zachary Lipton · Jianfeng Lu · Ankur Moitra · Andrej Risteski |
|
|
Poster
|
Wed 11:00 |
Deep Homomorphism Networks Takanori Maehara · Hoang NT |
|
|
Workshop
|
Sat 9:20 |
MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Mueller · Carlo Curino · Raghu Ramakrishnan |
|
|
Workshop
|
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann |
||
|
Affinity Event
|
Solving Kuramoto Oscillator Model using Physics Informed Neural Network Alif Bin Abdul Qayyum · A Abeer |
||
|
Poster
|
Wed 11:00 |
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker · Chester Tan · Ingo Scholtes |
|
|
Workshop
|
Invariant Graphon Networks: Approximation and Cut Distance Daniel Herbst · Stefanie Jegelka |
||
|
Workshop
|
Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions Mihai Nica · Janosch Ortmann |
||
|
Workshop
|
Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti |