Saved in:
| Main Authors: | Krimmel, Markus, Wiens, Jenna, Borgwardt, Karsten, Chen, Dexiong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.02415 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
by: Chen, Dexiong, et al.
Published: (2025)
by: Chen, Dexiong, et al.
Published: (2025)
PolyGraph Discrepancy: a classifier-based metric for graph generation
by: Krimmel, Markus, et al.
Published: (2025)
by: Krimmel, Markus, et al.
Published: (2025)
Learning Long Range Dependencies on Graphs via Random Walks
by: Chen, Dexiong, et al.
Published: (2024)
by: Chen, Dexiong, et al.
Published: (2024)
Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
Protein Fold Classification at Scale: Benchmarking and Pretraining
by: Chen, Dexiong, et al.
Published: (2026)
by: Chen, Dexiong, et al.
Published: (2026)
Endowing Protein Language Models with Structural Knowledge
by: Chen, Dexiong, et al.
Published: (2024)
by: Chen, Dexiong, et al.
Published: (2024)
Random Search Neural Networks for Efficient and Expressive Graph Learning
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
by: Chang, Trenton, et al.
Published: (2024)
by: Chang, Trenton, et al.
Published: (2024)
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
by: Chen, Winston, et al.
Published: (2025)
by: Chen, Winston, et al.
Published: (2025)
Measuring Model Performance in the Presence of an Intervention
by: Chen, Winston, et al.
Published: (2025)
by: Chen, Winston, et al.
Published: (2025)
Understanding GNNs and Homophily in Dynamic Node Classification
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
Refine Drugs, Don't Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery
by: Kaech, Benno, et al.
Published: (2025)
by: Kaech, Benno, et al.
Published: (2025)
A Comprehensive Benchmark for RNA 3D Structure-Function Modeling
by: Wyss, Luis, et al.
Published: (2025)
by: Wyss, Luis, et al.
Published: (2025)
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
by: Chang, Trenton, et al.
Published: (2025)
by: Chang, Trenton, et al.
Published: (2025)
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation
by: Mandyam, Aishwarya, et al.
Published: (2024)
by: Mandyam, Aishwarya, et al.
Published: (2024)
Fast Autoregressive Models for Continuous Latent Generation
by: Hang, Tiankai, et al.
Published: (2025)
by: Hang, Tiankai, et al.
Published: (2025)
Diffusion-Pretrained Dense and Contextual Embeddings
by: Eslami, Sedigheh, et al.
Published: (2026)
by: Eslami, Sedigheh, et al.
Published: (2026)
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
by: Chang, Trenton, et al.
Published: (2024)
by: Chang, Trenton, et al.
Published: (2024)
Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings
by: Fredsgaard, Laurits, et al.
Published: (2026)
by: Fredsgaard, Laurits, et al.
Published: (2026)
Compositional Generalization in Autoregressive Models via Logit Composition
by: Kumar, Aakash, et al.
Published: (2026)
by: Kumar, Aakash, et al.
Published: (2026)
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
by: Wang, Zhe, et al.
Published: (2025)
by: Wang, Zhe, et al.
Published: (2025)
GEFL: Extended Filtration Learning for Graph Classification
by: Zhang, Simon, et al.
Published: (2024)
by: Zhang, Simon, et al.
Published: (2024)
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
by: Bhattacharya, Rishabh, et al.
Published: (2025)
by: Bhattacharya, Rishabh, et al.
Published: (2025)
Overcoming Order in Autoregressive Graph Generation
by: Cohen-Karlik, Edo, et al.
Published: (2024)
by: Cohen-Karlik, Edo, et al.
Published: (2024)
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
by: Zhao, Lingxiao, et al.
Published: (2024)
by: Zhao, Lingxiao, et al.
Published: (2024)
Uncertainty-Aware Robust Learning on Noisy Graphs
by: Chen, Shuyi, et al.
Published: (2023)
by: Chen, Shuyi, et al.
Published: (2023)
Filtration-Based Representation Learning for Temporal Graphs
by: Chowdhury, Samrik, et al.
Published: (2025)
by: Chowdhury, Samrik, et al.
Published: (2025)
Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)
by: Jiang, Zhuoyang, et al.
Published: (2026)
Fast Graph Generation via Spectral Diffusion
by: Luo, Tianze, et al.
Published: (2022)
by: Luo, Tianze, et al.
Published: (2022)
GRAMA: Adaptive Graph Autoregressive Moving Average Models
by: Eliasof, Moshe, et al.
Published: (2025)
by: Eliasof, Moshe, et al.
Published: (2025)
Estimating Misreporting in the Presence of Genuine Modification: A Causal Perspective
by: Zapzalka, Dylan, et al.
Published: (2025)
by: Zapzalka, Dylan, et al.
Published: (2025)
MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention
by: Jiang, Chaoyi, et al.
Published: (2025)
by: Jiang, Chaoyi, et al.
Published: (2025)
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
by: Deschenaux, Justin, et al.
Published: (2024)
by: Deschenaux, Justin, et al.
Published: (2024)
HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR
by: Xu, Hainan, et al.
Published: (2024)
by: Xu, Hainan, et al.
Published: (2024)
Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
by: Lucena, Anaísa, et al.
Published: (2026)
by: Lucena, Anaísa, et al.
Published: (2026)
Active Learning for Graphs with Noisy Structures
by: Chi, Hongliang, et al.
Published: (2024)
by: Chi, Hongliang, et al.
Published: (2024)
Active Exploration via Autoregressive Generation of Missing Data
by: Cai, Tiffany Tianhui, et al.
Published: (2024)
by: Cai, Tiffany Tianhui, et al.
Published: (2024)
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input
by: Misiakos, Panagiotis, et al.
Published: (2025)
by: Misiakos, Panagiotis, et al.
Published: (2025)
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
by: Peetathawatchai, Pura, et al.
Published: (2024)
by: Peetathawatchai, Pura, et al.
Published: (2024)
Similar Items
-
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
by: Chen, Dexiong, et al.
Published: (2025) -
PolyGraph Discrepancy: a classifier-based metric for graph generation
by: Krimmel, Markus, et al.
Published: (2025) -
Learning Long Range Dependencies on Graphs via Random Walks
by: Chen, Dexiong, et al.
Published: (2024) -
Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025) -
Protein Fold Classification at Scale: Benchmarking and Pretraining
by: Chen, Dexiong, et al.
Published: (2026)