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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs
Maya Ravichandran · Mark Koch · Taniya Das · Nikhil Khatri
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Workshop
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Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae · Gang Liu · Meng Jiang
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Workshop
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Semi-Supervised Graph Imbalanced Regression
Gang Liu · Tong Zhao · Eric Inae · Tengfei Luo · Meng Jiang
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Workshop
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Predicting Adsorption Energies for Catalyst Screening with Transfer Learning Using Crystal Hamiltonian Graph Neural Network
Angelina Chen · Hui Zheng · Paula Harder
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Workshop
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TopoPool: An Adaptive Graph Pooling Layer for Extracting Molecular and Protein Substructures
Mattson Thieme · Majdi Hassan · Chetan Rupakheti · Kedar Thiagarajan · Abhishek Pandey · Han Liu
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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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Prompt Learning Unlocked for App Promotion in the Wild
Zhongyu Ouyang · Shifu Hou · Shang Ma · Chaoran Chen · Chunhui Zhang · Toby Li · Xusheng Xiao · Xiangchi Yuan · Yanfang Ye
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Workshop
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Evolving Graph Generalization Estimation via Self-Supervised Learning
Bin Lu · Tingyan Ma · Xiaoying Gan · Luoyi Fu · Xinbing Wang · Chenghu Zhou · Shiyu Liang
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Workshop
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Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting
JuHyeon Kim · HyunGeun Lee · Seungwon Yu · Ung Hwang · Wooyul Jung · Miseon Park · Kijung Yoon
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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GenTKG: Generative Forecasting on Temporal Knowledge Graph
Ruotong Liao · Xu Jia · Yunpu Ma · Volker Tresp
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