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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 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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Poster
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Thu 15:00
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Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu · Leilei Sun · Bowen Du · Weifeng Lv
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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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Poster
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Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia · Xiao Wang · Nian Liu · Chuan Shi
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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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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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Workshop
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Graph Neural Networks Go Forward-Forward
Daniele Paliotta · Mathieu Alain · Bálint Máté · François Fleuret
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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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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 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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