| Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes | Aug 13, 2023 | Graph ClassificationGraph Property Prediction | —Unverified | 0 |
| Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction | Nov 24, 2023 | Graph Neural NetworkGraph Regression | —Unverified | 0 |
| Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction | Nov 27, 2023 | Graph AttentionGraph Neural Network | —Unverified | 0 |
| Coordinating Cross-modal Distillation for Molecular Property Prediction | Nov 30, 2022 | Graph RegressionGraph Representation Learning | —Unverified | 0 |
| CensNet: Convolution with Edge-Node Switching in Graph Neural Networks | Aug 10, 2019 | Graph ClassificationGraph Embedding | —Unverified | 0 |
| Edge but not Least: Cross-View Graph Pooling | Sep 24, 2021 | Graph ClassificationGraph Regression | —Unverified | 0 |
| Empowering Graph Representation Learning with Paired Training and Graph Co-Attention | Sep 25, 2019 | Graph ClassificationGraph Neural Network | —Unverified | 0 |
| An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022 | Nov 23, 2022 | Graph Neural NetworkGraph Regression | —Unverified | 0 |
| Equivariant Matrix Function Neural Networks | Oct 16, 2023 | Graph Regression | —Unverified | 0 |
| Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression | May 28, 2019 | Graph Regressionregression | —Unverified | 0 |
| A graph similarity for deep learning | Dec 1, 2020 | Deep LearningGraph Classification | —Unverified | 0 |
| Conditional Local Feature Encoding for Graph Neural Networks | May 8, 2024 | Graph ClassificationGraph Regression | —Unverified | 0 |
| SoGCN: Second-Order Graph Convolutional Networks | Oct 14, 2021 | Graph ClassificationGraph Regression | CodeCode Available | 0 |
| Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings | Apr 2, 2019 | General ClassificationGraph Classification | CodeCode Available | 0 |
| Infinite Width Graph Neural Networks for Node Regression/ Classification | Oct 12, 2023 | Gaussian ProcessesGraph Attention | CodeCode Available | 0 |
| Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding | Oct 28, 2023 | Graph ClassificationGraph Embedding | CodeCode Available | 0 |
| A Canonicalization Perspective on Invariant and Equivariant Learning | May 28, 2024 | Graph ClassificationGraph Embedding | CodeCode Available | 0 |
| Permute Me Softly: Learning Soft Permutations for Graph Representations | Oct 5, 2021 | Graph ClassificationGraph Neural Network | CodeCode Available | 0 |
| TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning | Nov 23, 2024 | Computational EfficiencyGraph Neural Network | CodeCode Available | 0 |
| Convolutional Networks on Graphs for Learning Molecular Fingerprints | Sep 30, 2015 | Drug DiscoveryGraph Regression | CodeCode Available | 0 |
| Modeling Edge Features with Deep Bayesian Graph Networks | Aug 17, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 0 |
| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman | Jun 5, 2023 | Graph Regression | CodeCode Available | 0 |
| Molecular Graph Convolutions: Moving Beyond Fingerprints | Mar 2, 2016 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 0 |
| FIT-GNN: Faster Inference Time for GNNs Using Coarsening | Oct 19, 2024 | ClassificationGraph Classification | CodeCode Available | 0 |
| Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective | Jun 25, 2019 | Graph Neural NetworkGraph Regression | CodeCode Available | 0 |
| From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | Nov 17, 2024 | Graph RegressionHeterogeneous Node Classification | CodeCode Available | 0 |
| Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels | Feb 6, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 0 |
| GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions | Aug 11, 2022 | Computational chemistryDrug Discovery | CodeCode Available | 0 |
| Geometric deep learning on graphs and manifolds using mixture model CNNs | Nov 25, 2016 | Deep LearningDocument Classification | CodeCode Available | 0 |
| GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method | Sep 17, 2024 | Graph RegressionMulti-Task Learning | CodeCode Available | 0 |
| Molecule Property Prediction Based on Spatial Graph Embedding | Aug 22, 2019 | Drug DiscoveryGraph Embedding | CodeCode Available | 0 |
| ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction | Oct 7, 2022 | Graph RegressionMolecular Property Prediction | CodeCode Available | 0 |
| Provably Powerful Graph Networks | May 27, 2019 | Graph ClassificationGraph Learning | CodeCode Available | 0 |
| Ranking Structured Objects with Graph Neural Networks | Apr 18, 2021 | Graph RankingGraph Regression | CodeCode Available | 0 |
| Graph Neural Networks for Jamming Source Localization | Jun 1, 2025 | feature selectiongraph construction | CodeCode Available | 0 |
| Attention-based Graph Neural Network for Semi-supervised Learning | Mar 10, 2018 | Graph Neural NetworkGraph Regression | CodeCode Available | 0 |
| Graph Neural Networks with convolutional ARMA filters | Jan 5, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Next Level Message-Passing with Hierarchical Support Graphs | Jun 22, 2024 | Graph ClassificationGraph Learning | CodeCode Available | 0 |
| RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks | Jul 15, 2023 | Contrastive LearningGraph Learning | CodeCode Available | 0 |
| Residual Gated Graph ConvNets | Nov 20, 2017 | ClusteringGeneral Classification | CodeCode Available | 0 |
| An Experimental Study of the Transferability of Spectral Graph Networks | Dec 18, 2020 | BenchmarkingGeneral Classification | CodeCode Available | 0 |
| On the equivalence between graph isomorphism testing and function approximation with GNNs | May 29, 2019 | Graph RegressionIsomorphism Testing | CodeCode Available | 0 |
| HyperAggregation: Aggregating over Graph Edges with Hypernetworks | Jul 16, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 0 |
| Second-Order Global Attention Networks for Graph Classification and Regression | Aug 27, 2022 | ClassificationGraph Classification | CodeCode Available | 0 |
| Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings | Dec 10, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 0 |