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cs.LG2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
Yundong Sun, Dongjie Zhu, Yansong Wang +1
Graph Neural Networks (GNNs) have emerged as the most powerful weapon for various graph tasks due to the message-passing mechanism's great local information aggregation ability. Ho…
cs.NE2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
Yundong Sun, Dongjie Zhu, Yansong Wang +3
Recently, Graph Transformers have emerged as a promising solution to alleviate the inherent limitations of Graph Neural Networks (GNNs) and enhance graph representation performance…