158 citations · 181 across the 19 of their papers we have counts for
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cs.LG2026
S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs
Yuhan Wang, Haopeng Zhang, Yibo Ding +6
Pre-training on text-attributed graphs (TAGs) is central to building transferable graph foundation models, where LLM-as-Aligner methods align graph and text representations through…
cs.LG2020★ 158 cited
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang, Haopeng Zhang, Congying Xia +1
The dominant graph neural networks (GNNs) over-rely on the graph links, several serious performance problems with which have been witnessed already, e.g., suspended animation probl…