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Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
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A Deep Learning Approach to Antibiotic Discovery
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The Vapnik–Chervonenkis dimension of graph and recursive neural networks
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Advances in neural information processing systems 7
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Network Information Theory
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Network biology: understanding the cell's functional organization
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MoleculeNet: a benchmark for molecular machine learning
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Modularity and community structure in networks
inferredcites →https://doi.org/10.1089/big.2020.0070openalex-snapshot
Graph Neural Network-Based Diagnosis Prediction
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AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs
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Modeling polypharmacy side effects with graph convolutional networks
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The Gene Ontology Resource: 20 years and still GOing strong
inferredcites →https://doi.org/10.1093/nar/gky1131openalex-snapshot
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
inferredcites →https://doi.org/10.1103/physreve.69.066138openalex-snapshot
Estimating mutual information
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An overview of statistical learning theory
inferredcites →https://doi.org/10.1109/jproc.2015.2483592openalex-snapshot
A Review of Relational Machine Learning for Knowledge Graphs
inferredcites →https://doi.org/10.1109/tits.2019.2935152openalex-snapshot
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
inferredcites →https://doi.org/10.1109/tkde.2020.2981333openalex-snapshot
Deep Learning on Graphs: A Survey
inferredcites →https://doi.org/10.1109/tkde.2021.3074654openalex-snapshot
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
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Self-Propagation Graph Neural Network for Recommendation
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OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
inferredcites →https://doi.org/10.1109/tnnls.2022.3141260openalex-snapshot
Debiased Graph Neural Networks With Agnostic Label Selection Bias
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Explainability in Graph Neural Networks: A Taxonomic Survey
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Out-of-Distribution Generalization on Graphs: A Survey
inferredcites →https://doi.org/10.1145/2590974openalex-snapshot
Social-Sensed Image Search
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DeepWalk
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GraRep
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Asymmetric Transitivity Preserving Graph Embedding
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/3292500.3330956openalex-snapshot
Stability and Generalization of Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3308558.3313468openalex-snapshot
Neural IR Meets Graph Embedding: A Ranking Model for Product Search
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Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks
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Efficient Neural Matrix Factorization without Sampling for Recommendation
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Global Context Enhanced Graph Neural Networks for Session-based Recommendation
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Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
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HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
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Unsupervised learning for cuboid shape abstraction via joint segmentation from point clouds
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ETA Prediction with Graph Neural Networks in Google Maps
inferredcites →https://doi.org/10.1145/3459637.3482306openalex-snapshot
Towards Self-Explainable Graph Neural Network
inferredcites →https://doi.org/10.1145/3474379openalex-snapshot
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
inferredcites →https://doi.org/10.1145/3477596openalex-snapshot
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1
inferredcites →https://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511700openalex-snapshot
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
inferredcites →https://doi.org/10.1145/3560487openalex-snapshot
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1146/annurev.soc.27.1.415openalex-snapshot
Birds of a Feather: Homophily in Social Networks
inferredcites →https://doi.org/10.48550/arxiv.1507.05333openalex-snapshot
Invariant Models for Causal Transfer Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.08811openalex-snapshot
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.1803.08375openalex-snapshot
Deep Learning using Rectified Linear Units (ReLU)
inferredcites →https://doi.org/10.48550/arxiv.1811.05868openalex-snapshot
Multimodal Temporal Graph Neural Networks for Detecting and Disrupting Dark-Web Cybercrime Communities: A Vendor-Disjoint Inductive Evaluation Finding No Measurable Benefit from the Graph
inferredcites →https://doi.org/10.48550/arxiv.1901.10912openalex-snapshot
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
inferredcites →https://doi.org/10.48550/arxiv.1903.03894openalex-snapshot
GNNExplainer: Generating Explanations for Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1905.02850openalex-snapshot
Understanding Attention and Generalization in Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1911.08731openalex-snapshot
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
inferredcites →https://doi.org/10.48550/arxiv.2005.00687openalex-snapshot
Open Graph Benchmark: Datasets for Machine Learning on Graphs
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations
inferredcites →https://doi.org/10.48550/arxiv.2011.04573openalex-snapshot
Parameterized Explainer for Graph Neural Network
inferredcites →https://doi.org/10.48550/arxiv.2106.06607openalex-snapshot
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
inferredcites →https://doi.org/10.48550/arxiv.2106.15535openalex-snapshot
Subgroup Generalization and Fairness of Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2108.01099openalex-snapshot
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data
inferredcites →https://doi.org/10.48550/arxiv.2201.12987openalex-snapshot
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
inferredcites →https://doi.org/10.48550/arxiv.2202.02466openalex-snapshot
Handling Distribution Shifts on Graphs: An Invariance Perspective
inferredcites →https://doi.org/10.48550/arxiv.physics/0608255openalex-snapshot
Maximizing Modularity is hard
inferredcites →https://doi.org/10.5555/3291125.3291161openalex-snapshot
Invariant models for causal transfer learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/aaai.12202openalex-snapshot
A survey of out‐of‐distribution generalization for graph machine learning from a causal view
inferred← citeshttps://doi.org/10.1007/978-981-95-3906-2_26openalex-snapshot
OFTEN: Graph Invariant Learning via Soft Environment Inference
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126015openalex-snapshot
Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning
inferred← citeshttps://doi.org/10.1016/j.future.2025.107814openalex-snapshot
Causal invariant geographic network representations with feature and structural distribution shifts
inferred← citeshttps://doi.org/10.1109/tai.2025.3605894openalex-snapshot
Let Invariant Learning Inspire Neighbor-Shift Generalization on Graphs
inferred← citeshttps://doi.org/10.1109/tkde.2026.3722666openalex-snapshot
CoRas: Cooperative Rationale Selection for Graph Rationale Learning in Out-of-Distribution Graphs
inferred← citeshttps://doi.org/10.1109/tpami.2025.3593897openalex-snapshot
Out-of-Distribution Generalization on Graphs: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2025.3622503openalex-snapshot
Uncertainty-Aware Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization
inferred← citeshttps://doi.org/10.1109/tpami.2025.3631584openalex-snapshot
Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments
inferred← citeshttps://doi.org/10.1145/3644392openalex-snapshot
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning
inferred← citeshttps://doi.org/10.1145/3701716.3715863openalex-snapshot
Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM
inferred← citeshttps://doi.org/10.1145/3701988openalex-snapshot
Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3706062openalex-snapshot
A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance
inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28663openalex-snapshot
Multimodal Graph Neural Architecture Search under Distribution Shifts
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