ICLR 2024 accepted papers on Graph learning
123 of the 2,259 papers accepted at ICLR 2024 (5.4%) are on Graph learning, compared with 7.0% at ICLR 2023. They fall into 4 topics.
See ICLR 2024 in the interactive map
Working on something in this area? Describe your idea in scime atlas to see the closest accepted papers by meaning and how crowded the spot has become.
Topics and papers
GNN architectures · 58 papers
- Neural Common Neighbor with Completion for Link Prediction (11 citations)
- Partitioning Message Passing for Graph Fraud Detection (7 citations)
- Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation (6 citations)
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (5 citations)
- From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module (4 citations)
- HoloNets: Spectral Convolutions do extend to Directed Graphs (4 citations)
- Probabilistically Rewired Message-Passing Neural Networks (4 citations)
- Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks (4 citations)
- Equivariant Matrix Function Neural Networks (3 citations)
- GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking (3 citations)
- Graph Neural Networks for Learning Equivariant Representations of Neural Networks (3 citations)
- Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability (3 citations)
and 46 more in the interactive map.
Graph self-supervised learning · 34 papers
- Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning (16 citations)
- Label-free Node Classification on Graphs with Large Language Models (LLMs) (10 citations)
- One For All: Towards Training One Graph Model For All Classification Tasks (8 citations)
- Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks (7 citations)
- Complete and Efficient Graph Transformers for Crystal Material Property Prediction (6 citations)
- A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks (5 citations)
- Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks (3 citations)
- Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection (3 citations)
- Revisiting Link Prediction: a data perspective (3 citations)
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections (3 citations)
- Effective Structural Encodings via Local Curvature Profiles (2 citations)
- From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction (2 citations)
and 22 more in the interactive map.
Knowledge and temporal graphs · 16 papers
- Deep Temporal Graph Clustering (24 citations)
- Talk like a Graph: Encoding Graphs for Large Language Models (13 citations)
- GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs (10 citations)
- Towards Foundation Models for Knowledge Graph Reasoning (8 citations)
- Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations (3 citations)
- TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts (3 citations)
- Adaptive Self-training Framework for Fine-grained Scene Graph Generation (2 citations)
- Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs (1 citation)
- Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
- PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
- Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
- Faithful Rule Extraction for Differentiable Rule Learning Models
and 4 more in the interactive map.
Graph algorithms and clustering · 15 papers
- Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling (11 citations)
- Improving protein optimization with smoothed fitness landscapes (4 citations)
- CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs (2 citations)
- Constraint-Free Structure Learning with Smooth Acyclic Orientations (1 citation)
- A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
- General Graph Random Features
- Graph Parsing Networks
- Local Graph Clustering with Noisy Labels
- M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
- Repelling Random Walks
- Robust Angular Synchronization via Directed Graph Neural Networks
- Mayfly: a Neural Data Structure for Graph Stream Summarization
and 3 more in the interactive map.