Meng Qu

CoRR, 2022

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Neural Structured Prediction for Inductive Node Classification.

[BibT_eX]

[DOI]

Huiyu Cai

Proceedings of the Tenth International Conference on Learning Representations, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Structured Multi-task Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Knowledge graph embedding with shared latent semantic units.

[BibT_eX]

[DOI]

Neural Networks, 2021

Joint Modeling of Visual Objects and Relations for Scene Graph Generation.

[BibT_eX]

[DOI]

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

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs.

[BibT_eX]

[DOI]

Junkun Chen

Yoshua Bengio

Proceedings of the 9th International Conference on Learning Representations, 2021

Predicting Infectiousness for Proactive Contact Tracing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

GraphMix: Improved Training of GNNs for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.

[BibT_eX]

[DOI]

CoRR, 2020

COVI White Paper.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Policy Network for Transferable Active Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continuous Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.

[BibT_eX]

[DOI]

Tianyu Gao

Proceedings of the 37th International Conference on Machine Learning, 2020

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Attending Over Triads for Learning Signed Network Embedding.

[BibT_eX]

[DOI]

Shagun Sodhani

Frontiers Big Data, 2019

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning.

[BibT_eX]

[DOI]

Yoshua Bengio

CoRR, 2019

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Learning Dual Retrieval Module for Semi-supervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning.

[BibT_eX]

[DOI]

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

Probabilistic Logic Neural Networks for Reasoning.

[BibT_eX]

[DOI]

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

GMNN: Graph Markov Neural Networks.

[BibT_eX]

[DOI]

Yoshua Bengio

Proceedings of the 36th International Conference on Machine Learning, 2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days.

[BibT_eX]

[DOI]

Remote. Sens., 2018

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Jiawei Han

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Knowledge Graph Embedding with Hierarchical Relation Structure.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Automatic diabetic retinopathy diagnosis using adjustable ophthalmoscope and multi-scale line operator.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2017

Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach.

[BibT_eX]

[DOI]

CoRR, 2017

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

ProSNet: integrating homology with molecular networks for protein function prediction.

[BibT_eX]

[DOI]

Sheng Wang

Jian Peng

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Automatic Synonym Discovery with Knowledge Bases.

[BibT_eX]

[DOI]

Xiang Ren

Jiawei Han

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

An Attention-based Collaboration Framework for Multi-View Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.

[BibT_eX]

[DOI]

Richard M. Weinshilboum

Jiawei Han

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Identity-sensitive Word Embedding through Heterogeneous Networks.

[BibT_eX]

[DOI]

Qiaozhu Mei

CoRR, 2016

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

LINE: Large-scale Information Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks.

[BibT_eX]

[DOI]