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Volume 198: Learning on Graphs Conference, 9-12 December 2022, Virtual
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Editors: Bastian Rieck, Razvan Pascanu
Preface
The First Learning on Graphs Conference: Preface
; Proceedings of the First Learning on Graphs Conference, PMLR 198:i-xxiii
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Oral Presentations
Neighborhood-Aware Scalable Temporal Network Representation Learning
; Proceedings of the First Learning on Graphs Conference, PMLR 198:1:1-1:18
A Generalist Neural Algorithmic Learner
; Proceedings of the First Learning on Graphs Conference, PMLR 198:2:1-2:23
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
; Proceedings of the First Learning on Graphs Conference, PMLR 198:3:1-3:23
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
; Proceedings of the First Learning on Graphs Conference, PMLR 198:4:1-4:21
Shortest Path Networks for Graph Property Prediction
; Proceedings of the First Learning on Graphs Conference, PMLR 198:5:1-5:25
Taxonomy of Benchmarks in Graph Representation Learning
; Proceedings of the First Learning on Graphs Conference, PMLR 198:6:1-6:25
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
; Proceedings of the First Learning on Graphs Conference, PMLR 198:7:1-7:23
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
; Proceedings of the First Learning on Graphs Conference, PMLR 198:8:1-8:17
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Influence-Based Mini-Batching for Graph Neural Networks
; Proceedings of the First Learning on Graphs Conference, PMLR 198:9:1-9:19
Poster Presentations
Learning Graph Search Heuristics
; Proceedings of the First Learning on Graphs Conference, PMLR 198:10:1-10:13
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features
; Proceedings of the First Learning on Graphs Conference, PMLR 198:11:1-11:16
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Well-Conditioned Spectral Transforms for Dynamic Graph Representation
; Proceedings of the First Learning on Graphs Conference, PMLR 198:12:1-12:19
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Efficient Representation Learning for Higher-Order Data With Simplicial Complexes
; Proceedings of the First Learning on Graphs Conference, PMLR 198:13:1-13:21
Flashlight: Scalable Link Prediction With Effective Decoders
; Proceedings of the First Learning on Graphs Conference, PMLR 198:14:1-14:17
DiffWire: Inductive Graph Rewiring via the Lovász Bound
; Proceedings of the First Learning on Graphs Conference, PMLR 198:15:1-15:27
GEFL: Extended Filtration Learning for Graph Classification
; Proceedings of the First Learning on Graphs Conference, PMLR 198:16:1-16:26
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Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman
; Proceedings of the First Learning on Graphs Conference, PMLR 198:17:1-17:18
Transfer Learning Using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
; Proceedings of the First Learning on Graphs Conference, PMLR 198:18:1-18:19
Graph Neural Network With Local Frame for Molecular Potential Energy Surface
; Proceedings of the First Learning on Graphs Conference, PMLR 198:19:1-19:30
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
; Proceedings of the First Learning on Graphs Conference, PMLR 198:20:1-20:18
DIGRAC: Digraph Clustering Based on Flow Imbalance
; Proceedings of the First Learning on Graphs Conference, PMLR 198:21:1-21:43
Distributed Representations of Graphs for Drug Pair Scoring
; Proceedings of the First Learning on Graphs Conference, PMLR 198:22:1-22:17
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DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series
; Proceedings of the First Learning on Graphs Conference, PMLR 198:23:1-23:19
Graph-Time Convolutional Autoencoders
; Proceedings of the First Learning on Graphs Conference, PMLR 198:24:1-24:20
A Simple Way to Learn Metrics Between Attributed Graphs
; Proceedings of the First Learning on Graphs Conference, PMLR 198:25:1-25:12
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Label-Wise Graph Convolutional Network for Heterophilic Graphs
; Proceedings of the First Learning on Graphs Conference, PMLR 198:26:1-26:21
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations
; Proceedings of the First Learning on Graphs Conference, PMLR 198:27:1-27:25
Towards Training GNNs Using Explanation Directed Message Passing
; Proceedings of the First Learning on Graphs Conference, PMLR 198:28:1-28:18
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction
; Proceedings of the First Learning on Graphs Conference, PMLR 198:29:1-29:21
Representation Learning on Biomolecular Structures Using Equivariant Graph Attention
; Proceedings of the First Learning on Graphs Conference, PMLR 198:30:1-30:17
Neural Graph Databases
; Proceedings of the First Learning on Graphs Conference, PMLR 198:31:1-31:38
AutoGDA: Automated Graph Data Augmentation for Node Classification
; Proceedings of the First Learning on Graphs Conference, PMLR 198:32:1-32:17
Metric Based Few-Shot Graph Classification
; Proceedings of the First Learning on Graphs Conference, PMLR 198:33:1-33:22
Sparse and Local Networks for Hypergraph Reasoning
; Proceedings of the First Learning on Graphs Conference, PMLR 198:34:1-34:16
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning
; Proceedings of the First Learning on Graphs Conference, PMLR 198:35:1-35:15
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations
; Proceedings of the First Learning on Graphs Conference, PMLR 198:36:1-36:21
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TopoImb: Toward Topology-Level Imbalance in Learning From Graphs
; Proceedings of the First Learning on Graphs Conference, PMLR 198:37:1-37:18
Expander Graph Propagation
; Proceedings of the First Learning on Graphs Conference, PMLR 198:38:1-38:18
CEP3: Community Event Prediction With Neural Point Process on Graph
; Proceedings of the First Learning on Graphs Conference, PMLR 198:39:1-39:17
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
; Proceedings of the First Learning on Graphs Conference, PMLR 198:40:1-40:39
Combining Graph and Recurrent Networks for Efficient and Effective Segment Tagging
; Proceedings of the First Learning on Graphs Conference, PMLR 198:41:1-41:14
A Systematic Evaluation of Node Embedding Robustness
; Proceedings of the First Learning on Graphs Conference, PMLR 198:42:1-42:14
Learnable Commutative Monoids for Graph Neural Networks
; Proceedings of the First Learning on Graphs Conference, PMLR 198:43:1-43:22
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
; Proceedings of the First Learning on Graphs Conference, PMLR 198:44:1-44:23
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Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems
; Proceedings of the First Learning on Graphs Conference, PMLR 198:45:1-45:17
Weisfeiler and Leman Go Relational
; Proceedings of the First Learning on Graphs Conference, PMLR 198:46:1-46:26
A Survey on Deep Graph Generation: Methods and Applications
; Proceedings of the First Learning on Graphs Conference, PMLR 198:47:1-47:21
Neural Graph Modelling of Whole Slide Images for Survival Ranking
; Proceedings of the First Learning on Graphs Conference, PMLR 198:48:1-48:10
Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning
; Proceedings of the First Learning on Graphs Conference, PMLR 198:49:1-49:15
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Reasoning-Modulated Representations
; Proceedings of the First Learning on Graphs Conference, PMLR 198:50:1-50:17
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
; Proceedings of the First Learning on Graphs Conference, PMLR 198:51:1-51:21
Similarity-Based Link Prediction From Modular Compression of Network Flows
; Proceedings of the First Learning on Graphs Conference, PMLR 198:52:1-52:18
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets
; Proceedings of the First Learning on Graphs Conference, PMLR 198:53:1-53:18
Continuous Neural Algorithmic Planners
; Proceedings of the First Learning on Graphs Conference, PMLR 198:54:1-54:13
Effective Higher-Order Link Prediction and Reconstruction From Simplicial Complex Embeddings
; Proceedings of the First Learning on Graphs Conference, PMLR 198:55:1-55:17
FakeEdge: Alleviate Dataset Shift in Link Prediction
; Proceedings of the First Learning on Graphs Conference, PMLR 198:56:1-56:19
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
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