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Poster
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Thu 15:00
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Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
Xinyu Ma · Xu Chu · Yasha Wang · Yang Lin · Junfeng Zhao · Liantao Ma · Wenwu Zhu
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Workshop
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Graph Neural Networks on Discriminative Graphs of Words
Yassine ABBAHADDOU · Johannes Lutzeyer · Michalis Vazirgiannis
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Workshop
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MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification
Xiao Yue · Bo Liu · Andrew Meng · Guangzhi Qu
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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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Workshop
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scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data
Rui Yang · Wenrui Dai · Chenglin Li · Junni Zou · Dapeng Wu · Hongkai Xiong
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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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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 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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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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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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Poster
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Thu 15:00
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[Re] G-Mixup: Graph Data Augmentation for Graph Classification
Ermin Omeragic · Vuk Đuranović
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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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