firstbacksecondback
165 Results
|
Poster
|
Thu 10:30 |
Query Embedding on Hyper-Relational Knowledge Graphs Dimitrios Alivanistos · Max Berrendorf · Michael Cochez · Mikhail Galkin |
|
|
Poster
|
Thu 2:30 |
IGLU: Efficient GCN Training via Lazy Updates S Deepak Narayanan · Aditya Sinha · Prateek Jain · Purushottam Kar · SUNDARARAJAN SELLAMANICKAM |
|
|
Poster
|
Wed 2:30 |
Graphon based Clustering and Testing of Networks: Algorithms and Theory Mahalakshmi Sabanayagam · Leena Chennuru Vankadara · Debarghya Ghoshdastidar |
|
|
Poster
|
Mon 10:30 |
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah |
|
|
Oral
|
Tue 1:45 |
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" Asiri Wijesinghe · Qing Wang |
|
|
Poster
|
Mon 2:30 |
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty |
|
|
Oral
|
Tue 1:00 |
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein |
|
|
Poster
|
Tue 10:30 |
Predicting Physics in Mesh-reduced Space with Temporal Attention XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu |
|
|
Poster
|
Tue 2:30 |
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia |
|
|
Poster
|
Tue 2:30 |
Do We Need Anisotropic Graph Neural Networks? Shyam Tailor · Felix Opolka · Pietro Lio · Nicholas Lane |
|
|
Poster
|
Wed 10:30 |
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao · Jiaxuan You · Jure Leskovec |
|
|
Poster
|
Thu 10:30 |
Learning to Schedule Learning rate with Graph Neural Networks Yuanhao Xiong · Li-Cheng Lan · Xiangning Chen · Ruochen Wang · Cho-Jui Hsieh |