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163 Results
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Poster
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Wed 14:00 |
Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang · Abhishek Gupta · Mingyan Lin |
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Workshop
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Sat 14:06 |
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network Seungwoong Ha · Hawoong Jeong |
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Poster
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Wed 9:00 |
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca · Andrea Cini · Cesare Alippi |
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Workshop
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Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang |
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Workshop
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Skeleton Clustering: Graph-Based Approach for Dimension-Free Density-Aided Clustering Zeyu Wei · Yen-Chi Chen |
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Workshop
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A deep learning approach to recover conditional independence graphs Harsh Shrivastava · Urszula Chajewska · Robin Abraham · Xinshi Chen |
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu |
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Workshop
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Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey · Ali Parviz · Maximilian Thiessen · Hannes Stärk · Ylli Sadikaj · Haggai Maron |
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Workshop
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Graph Neural Networks for Selection of Preconditioners and Krylov Solvers Ziyuan Tang · Hong Zhang · Jie Chen |
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Workshop
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PolarMOT: How far can geometric relations take us in 3D multi-object tracking? Aleksandr Kim · Guillem Braso · Aljosa Osep · Laura Leal-Taixé |
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Poster
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Tue 14:00 |
Graph Neural Networks with Adaptive Readouts David Buterez · Jon Paul Janet · Steven J Kiddle · Dino Oglic · Pietro Liò |
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Poster
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Thu 14:00 |
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi |