"graph machine learning" Papers
9 papers found
Conference
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin et al.
ICLR 2025arXiv:2405.20445
14
citations
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
Gleb Bazhenov, Oleg Platonov, Liudmila Prokhorenkova
NEURIPS 2025oralarXiv:2409.14500
8
citations
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li et al.
NEURIPS 2025arXiv:2502.16076
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
NEURIPS 2025spotlight
The Temporal Graph of Bitcoin Transactions
Vahid Jalili
NEURIPS 2025oralarXiv:2510.20028
Towards a Complete Logical Framework for GNN Expressiveness
Tuo Xu
ICLR 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang, Yixin Liu, Xu Shen et al.
ICLR 2025arXiv:2406.15523
17
citations
CurBench: Curriculum Learning Benchmark
Yuwei Zhou, Zirui Pan, Xin Wang et al.
ICML 2024
Position: Future Directions in the Theory of Graph Machine Learning
Christopher Morris, Fabrizio Frasca, Nadav Dym et al.
ICML 2024