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Volume 269: Learning on Graphs Conference, 26-29 November 2024, Virtual
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Editors: Guy Wolf, Smita Krishnaswamy
Oral Presentations
Revisiting Graph Homophily Measures
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:1:1-1:22
UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:2:1-2:23
Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:3:1-3:20
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Decomposing Force Fields as Flows on Graphs Reconstructed From Stochastic Trajectories
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:4:1-4:26
Poster Presentations
What Do GNNs Actually Learn? Towards Understanding Their Representations
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:5:1-5:21
Ising on the Graph: Task-Specific Graph Subsampling via the Ising Model
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:6:1-6:29
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:7:1-7:14
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Cayley Graph Propagation
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:8:1-8:20
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
A Spectral Framework for Tracking Communities in Evolving Networks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:9:1-9:34
Simple GNNs With Low Rank Non-Parametric Aggregators
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:10:1-10:11
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:11:1-11:21
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:12:1-12:28
Asymptotic Generalization Error of a Single-Layer Graph Convolutional Network
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:13:1-13:27
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:14:1-14:24
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Effectiveness of SDP Rounding Using Hopfield Networks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:15:1-15:18
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
xAI-Drop: Don’t Use What You Cannot Explain
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:16:1-16:22
Understanding Feature/Structure Interplay in Graph Neural Networks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:17:1-17:15
Knowledge Graph Preference Contrastive Learning for Recommendation
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:18:1-18:15
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:19:1-19:13
GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLP
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:20:1-20:15
Optimal Performance of Graph Convolutional Networks on the Contextual Stochastic Block Model
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:21:1-21:17
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Leveraging Temporal Graph Networks Using Module Decoupling
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:22:1-22:19
Do We Really Need Complicated Graph Learning Models? – A Simple but Effective Baseline
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:23:1-23:19
A Pure Transformer Pretraining Framework on Text-Attributed Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:24:1-24:18
Hyperbolic Kernel Convolution: A Generic Framework
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:25:1-25:25
Faster Optimization on Sparse Graphs via Neural Reparametrization
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:26:1-26:21
NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:27:1-27:14
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:28:1-28:16
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph Learning
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:29:1-29:20
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Oversquashing in Hypergraph Neural Networks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:30:1-30:16
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:31:1-31:26
Stochastic Experience-Replay for Graph Continual Learning
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:32:1-32:16
Enhancing Topological Dependencies in Spatio-Temporal Graphs With Cycle Message Passing Blocks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:33:1-33:17
Matrix Completion With Hypergraphs: Sharp Thresholds and Efficient Algorithms
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:34:1-34:30
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:35:1-35:24
Sub-Graph Based Diffusion Model for Link Prediction
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:36:1-36:17
Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:37:1-37:13
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:38:1-38:19
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:39:1-39:20
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
T-Gae: Transferable Graph Autoencoder for Network Alignment
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:40:1-40:25
Motif-Aware Attribute Masking for Molecular Graph Pre-Training
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:41:1-41:15
On the Expressivity of Persistent Homology in Graph Learning
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:42:1-42:31
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:43:1-43:20
Towards Neural Scaling Laws on Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:44:1-44:22
CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:45:1-45:17
Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:46:1-46:17
Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks
; Proceedings of the Third Learning on Graphs Conference, PMLR 269:47:1-47:22
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