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Volume 231: Learning on Graphs Conference, 27-30 November 2023, Virtual
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Editors: Soledad Villar, Benjamin Chamberlain
Preface
The Second Learning on Graphs Conference: Preface
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:i-xix
[abs][Download PDF]
Oral Presentations
Representing Edge Flows on Graphs via Sparse Cell Complexes
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:1:1-1:22
Meta-Path Learning for Multi-Relational Graph Neural Networks
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:2:1-2:17
Asynchronous Algorithmic Alignment With Cocycles
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:3:1-3:17
Cycle Invariant Positional Encoding for Graph Representation Learning
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:4:1-4:21
Recursive Algorithmic Reasoning
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:5:1-5:14
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:6:1-6:30
Poster Presentations
Spectral Subgraph Localization
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:7:1-7:11
GwAC: GNNs With Asynchronous Communication
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:8:1-8:20
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:9:1-9:15
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Latent Space Representations of Neural Algorithmic Reasoners
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:10:1-10:24
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:11:1-11:18
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:12:1-12:27
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SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:13:1-13:23
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:14:1-14:29
HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:15:1-15:20
Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:16:1-16:12
Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:17:1-17:19
Transferable Hypergraph Neural Networks via Spectral Similarity
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:18:1-18:23
Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:19:1-19:28
Interaction Models and Generalized Score Matching for Compositional Data
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:20:1-20:25
Will More Expressive Graph Neural Networks Do Better on Generative Tasks?
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:21:1-21:26
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:22:1-22:21
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:23:1-23:15
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
EMP: Effective Multidimensional Persistence for Graph Representation Learning
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:24:1-24:12
Edge Directionality Improves Learning on Heterophilic Graphs
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:25:1-25:27
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
A Simple Latent Variable Model for Graph Learning and Inference
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:26:1-26:18
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:27:1-27:13
Neural Algorithmic Reasoning for Combinatorial Optimisation
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:28:1-28:15
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
A Latent Diffusion Model for Protein Structure Generation
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:29:1-29:17
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:30:1-30:19
Parallel Algorithms Align With Neural Execution
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:31:1-31:13
Generative Modeling of Labeled Graphs Under Data Scarcity
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:32:1-32:18
MUDiff: Unified Diffusion for Complete Molecule Generation
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:33:1-33:26
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:34:1-34:25
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:35:1-35:23
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:36:1-36:19
BeMap: Balanced Message Passing for Fair Graph Neural Network
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:37:1-37:25
Rethinking Higher-Order Representation Learning With Graph Neural Networks
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:38:1-38:25
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