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Workshop
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Sat 11:15
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Benefits of learning with symmetries: eigenvectors, graph representations and sample complexity
Stefanie Jegelka
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Workshop
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DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo · Matteo Zignani · Sabrina Gaito
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Poster
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Tue 8:45
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TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen · Rex Ying
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Poster
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Thu 8:45
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan · Pasquale Minervini · Daniel Daza · Michael Cochez · Isabelle Augenstein
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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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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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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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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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Poster
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Wed 15:00
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Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao · Huaisheng Zhu · Zhengyu Chen · Suhang Wang
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Poster
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Thu 8:45
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Transformers over Directed Acyclic Graphs
Yuankai Luo · Veronika Thost · Lei Shi
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Workshop
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One Node Per User: Node-Level Federated Learning for Graph Neural Networks
zhidong gao · Yuanxiong Guo · Yanmin Gong
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