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Poster
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Tue 8:45
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Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
Lukas Gosch · Simon Geisler · Daniel Sturm · Bertrand Charpentier · Daniel Zügner · Stephan Günnemann
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Workshop
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Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang · Yanyi Pu
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Poster
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Wed 15:00
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Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
Yijian Qin · Xin Wang · Ziwei Zhang · Hong Chen · Wenwu Zhu
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Poster
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Wed 8:45
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OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhou Zhiyao · Sheng Zhou · Bochao Mao · Xuanyi Zhou · Jiawei Chen · Qiaoyu Tan · Daochen Zha · Yan Feng · Chun Chen · Can Wang
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Poster
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Wed 8:45
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Generalised f-Mean Aggregation for Graph Neural Networks
Ryan Kortvelesy · Steven Morad · Amanda Prorok
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Workshop
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Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
Ali Behrouz · Parsa Delavari · Farnoosh Hashemi
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Poster
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Thu 15:00
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The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi · Veronica Lachi
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Workshop
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Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
Parinthapat Pengpun · Alessandro Salatiello
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Poster
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Wed 15:00
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Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
Zeyang Zhang · Xin Wang · Ziwei Zhang · Guangyao Shen · Shiqi Shen · Wenwu Zhu
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Poster
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Wed 8:45
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On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin · Tom Verbin · Nadav Cohen
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Poster
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Tue 15:15
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MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu · Yuge Wang · Rex Ying · Hongyu Zhao
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Workshop
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Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian · Levent Sagun · Yizhou Sun
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