Muhan Zhang

CoRR, 2024

On Lexical Invariance on Multisets and Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.

[BibT_eX]

[DOI]

CoRR, 2024

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Neural Common Neighbor for Temporal Graph Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

[BibT_eX]

[DOI]

CoRR, 2024

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling.

[BibT_eX]

[DOI]

Zehao Dong

CoRR, 2024

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

[BibT_eX]

[DOI]

Fanxu Meng

Zhaohui Wang

CoRR, 2024

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.

[BibT_eX]

[DOI]

CoRR, 2024

On the Completeness of Invariant Geometric Deep Learning Models.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs.

[BibT_eX]

[DOI]

Cai Zhou

CoRR, 2024

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.

[BibT_eX]

[DOI]

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

An Efficient Subgraph GNN with Provable Substructure Counting Power.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

An Empirical Study of Realized GNN Expressiveness.

[BibT_eX]

[DOI]

Yanbo Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph As Point Set.

[BibT_eX]

[DOI]

Pan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Case-Based or Rule-Based: How Do Transformers Do the Math?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural Common Neighbor with Completion for Link Prediction.

[BibT_eX]

[DOI]

Haotong Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Stability of Expressive Positional Encodings for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

One For All: Towards Training One Graph Model For All Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RulE: Knowledge Graph Reasoning with Rule Embedding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LooGLE: Can Long-Context Language Models Understand Long Contexts?

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

Chain of Images for Intuitively Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure.

[BibT_eX]

[DOI]

CoRR, 2023

On the Stability of Expressive Positional Encodings for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.

[BibT_eX]

[DOI]

CoRR, 2023

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks.

[BibT_eX]

[DOI]

Pan Li

CoRR, 2023

Towards Better Evaluation of GNN Expressiveness with BREC Dataset.

[BibT_eX]

[DOI]

Yanbo Wang

CoRR, 2023

Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs.

[BibT_eX]

[DOI]

CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.

[BibT_eX]

[DOI]

Christopher Ryan King

CoRR, 2023

Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes.

[BibT_eX]

[DOI]

Cai Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Is Distance Matrix Enough for Geometric Deep Learning?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks.

[BibT_eX]

[DOI]

Cai Zhou

Proceedings of the International Conference on Machine Learning, 2023

Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy.

[BibT_eX]

[DOI]

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding.

[BibT_eX]

[DOI]

CoRR, 2022

Boosting the Cycle Counting Power of Graph Neural Networks with I<sup>2</sup>-GNNs.

[BibT_eX]

[DOI]

CoRR, 2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).

[BibT_eX]

[DOI]

CoRR, 2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption.

[BibT_eX]

[DOI]

Haotong Yang

Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Geodesic Graph Neural Network for Efficient Graph Representation Learning.

[BibT_eX]

[DOI]

Lecheng Kong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Powerful are K-hop Message Passing Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Network With Local Frame for Molecular Potential Energy Surface.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

How Powerful are Spectral Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Efficient Dynamic Graph Representation Learning at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

Network In Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nested Graph Neural Networks.

[BibT_eX]

[DOI]

Pan Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decoupling the Depth and Scope of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Revisiting Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Hierarchical Attention Propagation for Healthcare Representation Learning.

[BibT_eX]

[DOI]

Christopher Ryan King

Michael Avidan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Inductive Matrix Completion Based on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2019

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Link Prediction Based on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Embedding Logistic Regression.

[BibT_eX]

[DOI]

Zhicheng Cui

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

An End-to-End Deep Learning Architecture for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Batch Mode Active Learning for Regression With Expected Model Change.

[BibT_eX]

[DOI]

Wenbin Cai

Ya Zhang

IEEE Trans. Neural Networks Learn. Syst., 2017

BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods.

[BibT_eX]

[DOI]

Bioinform., 2017

Weisfeiler-Lehman Neural Machine for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Recovering Metabolic Networks using A Novel Hyperlink Prediction Method.

[BibT_eX]

[DOI]

CoRR, 2016

WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

2015

Active Learning for Web Search Ranking via Noise Injection.

[BibT_eX]

[DOI]

Wenbin Cai

Ya Zhang

ACM Trans. Web, 2015

Active learning for ranking with sample density.

[BibT_eX]

[DOI]

Wenbin Cai

Ya Zhang

Inf. Retr. J., 2015

Towards a Google Glass Based Head Control Communication System for People with Disabilities.

[BibT_eX]

[DOI]

James Gips