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Poster
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Tue 8:45
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Diffusion Probabilistic Models for Structured Node Classification
Hyosoon Jang · Seonghyun Park · Sangwoo Mo · Sungsoo Ahn
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Poster
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Wed 8:45
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Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
Russell Hart · Linlin Yu · Yifei Lou · Feng Chen
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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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Poster
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Tue 15:15
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Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan · Gengchen Wei · Chen Yang · Shengzhong Zhang · zengfeng Huang
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Workshop
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SATG : Structure Aware Transformers on Graphs for Node Classification
Sumedh B G · Sanjay Patnala · Himil Vasava · Akshay Sethi · Sonia Gupta
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Poster
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Thu 15:00
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On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
Federico Errica
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Workshop
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HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke · Daniel Cremers
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Workshop
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On the modelling and impact of negative edges in graph convolutional networks for node classification
Thu Trang Dinh · Julia Handl · Luis Ospina-Forero
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Poster
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Tue 8:45
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Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov · Denis Kuznedelev · Artem Babenko · Liudmila Prokhorenkova
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Poster
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Thu 8:45
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When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
Sitao Luan · Chenqing Hua · Minkai Xu · Qincheng Lu · Jiaqi Zhu · Xiao-Wen Chang · Jie Fu · Jure Leskovec · Doina Precup
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Workshop
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Exploring the Potential of Large Language Models (LLMs) in Learning on Graph
Zhikai Chen · Haitao Mao · Hang Li · Wei Jin · Hongzhi Wen · Xiaochi Wei · Shuaiqiang Wang · Dawei Yin · Wenqi Fan · Hui Liu · Jiliang Tang
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