firstbacksecondback
Filter by Keyword:
333 Results
Poster
|
Wed 0:30 |
Accurately Solving Rod Dynamics with Graph Learning Han Shao · Tassilo Kugelstadt · Torsten Hädrich · Wojtek Palubicki · Jan Bender · Soeren Pirk · Dominik L Michels |
|
Poster
|
Thu 0:30 |
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias Raanan Rohekar · Shami Nisimov · Yaniv Gurwicz · Gal Novik |
|
Poster
|
Wed 0:30 |
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks YU LI · Min LI · Qiuxia LAI · Yannan Liu · Qiang Xu |
|
Poster
|
Wed 16:30 |
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu |
|
Poster
|
Thu 16:30 |
Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj · Lingyang Chu · Zi Yu Xue · Jian Pei · Lanjun Wang · Peter Cho-Ho Lam · Yong Zhang |
|
Poster
|
Thu 16:30 |
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang · Zhigang Hua · Gan Liu · Jiayi Zhang · Junchi Yan · Feng Qi · Shuang Yang · Jun Zhou · Xiaokang Yang |
|
Poster
|
Thu 8:30 |
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs Taebum Kim · Eunji Jeong · Geon-Woo Kim · Yunmo Koo · Sehoon Kim · Gyeongin Yu · Byung-Gon Chun |
|
Poster
|
Tue 16:30 |
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun · Seoyoon Kim · Junhyun Lee · Jaewoo Kang · Hyunwoo Kim |
|
Workshop
|
GraphGT: Machine Learning Datasets for Graph Generation and Transformation Yuanqi Du · Shiyu Wang · Xiaojie Guo · Hengning Cao · Shujie Hu · Junji Jiang · Aishwarya Varala · Abhinav Angirekula · Liang Zhao |
||
Datasets and Benchmarks
|
GraphGT: Machine Learning Datasets for Graph Generation and Transformation Yuanqi Du · Shiyu Wang · Xiaojie Guo · Hengning Cao · Shujie Hu · Junji Jiang · Aishwarya Varala · Abhinav Angirekula · Liang Zhao |
||
Poster
|
Wed 0:30 |
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic Atsushi Suzuki · Atsushi Nitanda · jing wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza |
|
Poster
|
Thu 0:30 |
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsu Kim · Younggyo Seo · Jinwoo Shin |