Summary of Less Is More — on the Importance Of Sparsification For Transformers and Graph Neural Networks For Tsp, by Attila Lischka et al.
Less Is More – On the Importance of Sparsification for Transformers and Graph Neural Networks…
Less Is More – On the Importance of Sparsification for Transformers and Graph Neural Networks…
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SSHPool: The Separated Subgraph-based Hierarchical Poolingby Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Ziyu…
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networksby Sukhdeep Singh, Anuj Sharma, Vinod Kumar ChauhanFirst submitted…
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operationsby Md Saidul Hoque…
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Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learningby Raffaele Paolino, Sohir…
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Networkby Ningyi Liao, Zihao Yu, Siqiang LuoFirst…
Contextualized Messages Boost Graph Representationsby Brian Godwin Lim, Galvin Brice Lim, Renzo Roel Tan, Kazushi…