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Poster
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Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li
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Poster
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Thu 14:00
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Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi
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Workshop
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Sat 7:00
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KeyNote 1 by S. Mehran Kazemi : Learning and Reasoning with Temporal Knowledge Graphs
Seyed Mehran Kazemi
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Workshop
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Collective Knowledge Graph Completion with Mutual Knowledge Distillation
Weihang Zhang · Ovidiu Serban · Jiahao Sun · Yike Guo
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Workshop
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Fri 7:35
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Collective Knowledge Graph Completion with Mutual Knowledge Distillation
Weihang Zhang · Ovidiu Serban · Jiahao Sun · Yike Guo
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Affinity Workshop
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Towards probabilistic end-to-end Deep Learning Weather Forecasting: Spatio-Temporal Temperature Forecasting using Normalizing Flows
Christina Winkler
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Poster
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Thu 14:00
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Inductive Logical Query Answering in Knowledge Graphs
Michael Galkin · Zhaocheng Zhu · Hongyu Ren · Jian Tang
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Workshop
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The Ineffectiveness of TKGE Models in Encoding Real-World Knowledge Graphs
Chuan Ming Ong · Jiahao Sun · Ovidiu Serban · Yike Guo
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Workshop
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GLINKX: A Unified Framework for Large-scale Homophilous and Heterophilous Graphs
Marios Papachristou · Rishab Goel · Frank Portman · Matthew Miller · Rong Jin
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Poster
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Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
Zeyang Zhang · Xin Wang · Ziwei Zhang · Haoyang Li · Zhou Qin · Wenwu Zhu
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Poster
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Wed 9:00
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PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
Yasmin Salehi · Dennis Giannacopoulos
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Poster
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Tue 9:00
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OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
Zongsheng Cao · Qianqian Xu · Zhiyong Yang · Yuan He · Xiaochun Cao · Qingming Huang
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