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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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Beyond Erdos-Renyi: Generalization in Algorithmic Reasoning on Graphs
Dobrik Georgiev · Pietro Lió · Jakub Bachurski · Junhua Chen · Tunan Shi
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Workshop
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Linear Complexity Framework for Feature-Aware Graph Coarsening via Hashing
Mohit Kataria · Aditi Khandelwal · ROCKTIM DAS · Sandeep Kumar · Jayadeva Dr
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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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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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Coarse graining systems on inhomogeneous graphs using contrastive learning
Doruk Efe Gökmen · Maciej Koch-Janusz · Zohar Ringel · Sebastian Huber · Felix Flicker · Sounak Biswas
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Workshop
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Stepwise Inference in Transformers: Exploring a Synthetic Graph Navigation Task
Mikail Khona · Maya Okawa · Rahul Ramesh · Kento Nishi · Robert Dick · Ekdeep S Lubana · Hidenori Tanaka
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Workshop
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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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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GenTKG: Generative Forecasting on Temporal Knowledge Graph
Ruotong Liao · Xu Jia · Yunpu Ma · Volker Tresp
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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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Affinity Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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