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Poster
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Thu 14:00
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DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee · Jigang Kim · Inkyu Jang · H. Jin Kim
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Poster
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NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
Jun Zeng · Mingyang Kou · Hailong Yao
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Workshop
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A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Fuyang Li · Jiying Zhang · Xi Xiao · bin zhang · Dijun Luo
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Workshop
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Agent-based Graph Neural Networks
Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer
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Poster
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Tue 9:00
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Template based Graph Neural Network with Optimal Transport Distances
Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty
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Poster
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Thu 9:00
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Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen · Zehao Xiao · Xiantong Zhen · Cees Snoek · Marcel Worring
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Workshop
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Graph Neural Networks for Selection of Preconditioners and Krylov Solvers
Ziyuan Tang · Hong Zhang · Jie Chen
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Poster
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Tue 14:00
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Learning Generalizable Part-based Feature Representation for 3D Point Clouds
Xin Wei · Xiang Gu · Jian Sun
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Workshop
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Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
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Workshop
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FedTH : Tree-based Hierarchical Image Classification in Federated Learning
Jaeheon Kim · Bong Jun Choi
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Poster
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Thu 14:00
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CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda · Atmadeep Banerjee · Erik Schultheis · Rohit Babbar
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Workshop
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SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee · Dohoon Lee · Yinhua Piao · Sun Kim
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