V. G. Vinod Vydiswaran

Hao Ma

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks.

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Guest Editorial: AI for COVID-19.

[DOI]

Marinka Zitnik

IEEE Trans. Big Data, 2021

Science as a Public Good: Public Use and Funding of Science.

[DOI]

CoRR, 2021

MATCH: Metadata-Aware Text Classification in A Large Hierarchy.

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Adaptive Diffusion in Graph Neural Networks.

[DOI]

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

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

A Large-Scale Database for Graph Representation Learning.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

TDGIA: Effective Injection Attacks on Graph Neural Networks.

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Microsoft Academic Graph: When experts are not enough.

[DOI]

Quant. Sci. Stud., 2020

Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature.

[DOI]

Frontiers Res. Metrics Anal., 2020

Graph Random Neural Network.

[DOI]

CoRR, 2020

Heterogeneous Graph Transformer.

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Open Graph Benchmark: Datasets for Machine Learning on Graphs.

[DOI]

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

Graph Random Neural Networks for Semi-Supervised Learning on Graphs.

[DOI]

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

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.

[DOI]

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

GPT-GNN: Generative Pre-Training of Graph Neural Networks.

[DOI]

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

Heterogeneous Network Representation Learning.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

A Review of Microsoft Academic Services for Science of Science Studies.

[DOI]

Frontiers Big Data, 2019

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.

[DOI]

Proceedings of the World Wide Web Conference, 2019

Representation Learning on Networks: Theories, Algorithms, and Applications.

[DOI]

Jie Tang

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Neural Tensor Factorization for Temporal Interaction Learning.

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ProNE: Fast and Scalable Network Representation Learning.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Will Triadic Closure Strengthen Ties in Social Networks?

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Collaboration Diversity and Scientific Impact.

[DOI]

CoRR, 2018

Neural Tensor Factorization.

[DOI]

CoRR, 2018

BigNet 2018 Chairs' Welcome & Organization.

[DOI]

Jie Tang

Michalis Vazirgiannis

Fragkiskos D. Malliaros

Michael Cochez

Mayank Kejriwal

Achim Rettinger

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.

[DOI]

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

Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks.

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

DeepInf: Social Influence Prediction with Deep Learning.

[DOI]

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

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

User Modeling on Demographic Attributes in Big Mobile Social Networks.

[DOI]

ACM Trans. Inf. Syst., 2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations.

[DOI]

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

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.

[DOI]

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

metapath2vec: Scalable Representation Learning for Heterogeneous Networks.

[DOI]

Ananthram Swami

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

Reliable fake review detection via modeling temporal and behavioral patterns.

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Can Scientific Impact Be Predicted?

[DOI]

IEEE Trans. Big Data, 2016

Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits.

[DOI]

CoRR, 2016

Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution.

[DOI]

Yang Yang

Ryan N. Lichtenwalter

CoRR, 2016

Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network.

[DOI]

Omar Lizardo

CoRR, 2016

Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks.

[DOI]

CoRR, 2016

User Modeling in Large Social Networks.

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Deep learning for network analysis: Problems, approaches and challenges.

[DOI]

Proceedings of the 2016 IEEE Military Communications Conference, 2016

Analysis of link formation, persistence and dissolution in NetSense data.

[DOI]

Ashwin Bahulkar

Boleslaw K. Szymanski

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Modeling the Interplay Between Individual Behavior and Network Distributions.

[DOI]

CoRR, 2015

Will This Paper Increase Your <i>h</i>-index?: Scientific Impact Prediction.

[DOI]

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Inferring Unusual Crowd Events from Mobile Phone Call Detail Records.

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Will This Paper Increase Your h-index?

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

The Evolution of Social Relationships and Strategies Across the Lifespan.

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

CoupledLP: Link Prediction in Coupled Networks.

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Collaboration Signatures Reveal Scientific Impact.

[DOI]

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Predicting Node Degree Centrality with the Node Prominence Profile.

[DOI]

Yang Yang

CoRR, 2014

Inferring social status and rich club effects in enterprise communication networks.

[DOI]

CoRR, 2014

Will This Paper Increase Your h-index? Scientific Impact Prediction.

[DOI]

CoRR, 2014

Inferring user demographics and social strategies in mobile social networks.

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

A link clustering based overlapping community detection algorithm.

[DOI]

Data Knowl. Eng., 2013

Microscopic Evolution of Social Networks by Triad Position Profile.

[DOI]

Yang Yang

CoRR, 2013

How Long Will She Call Me? Distribution, Social Theory and Duration Prediction.

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Link Prediction and Recommendation across Heterogeneous Social Networks.

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

A parallel computing model for large-graph mining with MapReduce.

[DOI]

Proceedings of the Seventh International Conference on Natural Computation, 2011

Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

Approximating algorithm for RNA structure prediction including pseudoknots.

[DOI]

Proceedings of the IEEE International Conference on Automation and Logistics, 2011

Degree and similarity based search in networks.

[DOI]

Bin Wu

Qing Ke

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

SAKU: A distributed system for data analysis in large-scale dataset based on cloud computing.

[DOI]

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Predicting missing links via local feature of common neighbors.

[DOI]

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

KANGAROO: A Distributed System for SNA - Social Network Analysis in Huge-scale Networks.

Proceedings of the CLOSER 2011, 2011

Saurida: Cloud Computing based - Data Mining System in Telecommunication Industry.

Proceedings of the CLOSER 2011, 2011

Efficient Search in Networks Using Conductance.

[DOI]

Qing Ke