Research graph
References from Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1109/tkde.2020.3008732
10.1109/tkde.2020.3008732 · External reference
10.1145/3404835.3462968
10.1145/3404835.3462968 · External reference
10.1007/s11280-021-00906-2
10.1007/s11280-021-00906-2 · External reference
10.1109/icdm50108.2020.00058
10.1109/icdm50108.2020.00058 · External reference
10.52202/075280-0920
10.52202/075280-0920 · External reference
10.1609/aaai.v34i05.6508
10.1609/aaai.v34i05.6508 · External reference
10.1109/tnnls.2021.3070843
10.1109/tnnls.2021.3070843 · External reference
Towards out-of-distribution generalization: A survey
2021 · External reference
Unifying unsupervised graph-level anomaly detection and out-of-distribution detection: A benchmark
2024 · External reference
10.1109/tkde.2022.3193725
10.1109/tkde.2022.3193725 · External reference
10.52202/079017-1606
10.52202/079017-1606 · External reference
10.1109/icdm58522.2023.00157
10.1109/icdm58522.2023.00157 · External reference
10.1109/tpami.2023.3321097
10.1109/tpami.2023.3321097 · External reference
Environment inference for invariant learning
External reference
10.1109/cvpr52688.2022.00779
10.1109/cvpr52688.2022.00779 · External reference
10.52202/068431-0859
10.52202/068431-0859 · External reference
10.52202/068431-1808
10.52202/068431-1808 · External reference
Interpretable and generalizable graph learning via stochastic attention mechanism
External reference
Discovering invariant rationales for graph neural networks
2022 · External reference
10.52202/068431-0942
10.52202/068431-0942 · External reference
10.52202/075280-3130
10.52202/075280-3130 · External reference
10.52202/075280-0174
10.52202/075280-0174 · External reference
10.1109/cvpr52733.2024.02609
10.1109/cvpr52733.2024.02609 · External reference
Handling distribution shifts on graphs: An invariance perspective
2022 · External reference
10.1609/aaai.v38i8.28700
10.1609/aaai.v38i8.28700 · External reference
10.52202/075280-3429
10.52202/075280-3429 · External reference
10.1609/aaai.v37i7.25970
10.1609/aaai.v37i7.25970 · External reference
10.52202/068431-1781
10.52202/068431-1781 · External reference
Towards a theoretical framework of out-of-distribution generalization
External reference
Hypo: Hyperspherical out-of-distribution generalization
2024 · External reference
10.52202/075280-2827
10.52202/075280-2827 · External reference
Invariant risk minimization
2019 · External reference
10.1109/tpami.2025.3593897
10.1109/tpami.2025.3593897 · External reference
Out-of-distribution generalization via risk extrapolation (REx)
External reference
Unresolved reference
2020 · External reference
Latent causal invariant model
2020 · External reference
The risks of invariant risk minimization
2020 · External reference
Understanding the failure modes of out-of-distribution generalization
2020 · External reference
10.1145/3534678.3539347
10.1145/3534678.3539347 · External reference
10.1145/3534678.3539366
10.1145/3534678.3539366 · External reference
10.52202/068431-1608
10.52202/068431-1608 · External reference
Hyperspherical variational auto-encoders
2018 · External reference
10.1007/978-3-031-19806-9_3
10.1007/978-3-031-19806-9_3 · External reference
Hyperspherical prototype networks
External reference
How to exploit hyperspherical embeddings for out-of-distribution detection?
2022 · External reference
Representation learning via invariant causal mechanisms
2020 · External reference
Deep hyperspherical learning
External reference
Decomposed mutual information estimation for contrastive representation learning
External reference
10.1109/tpami.2022.3170559
10.1109/tpami.2022.3170559 · External reference
10.1109/tkde.2024.3423409
10.1109/tkde.2024.3423409 · External reference
10.52202/075280-3353
10.52202/075280-3353 · External reference
10.52202/068431-0150
10.52202/068431-0150 · External reference
10.1039/c7sc02664a
10.1039/c7sc02664a · External reference
10.1007/978-3-319-49409-8_35
10.1007/978-3-319-49409-8_35 · External reference
Empowering graph invariance learning with deep spurious infomax
2024 · External reference
Learning graph invariance by harnessing spuriosity
External reference
10.5555/3454287.3455008
10.5555/3454287.3455008 · External reference
Fast graph representation learning with pytorch geometric
2019 · External reference
10.1007/978-3-540-71050-9
10.1007/978-3-540-71050-9 · 2009 · External reference
