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• 2019

  PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature

  Wang, X., Zhang, Y., Li, Q., Wu, C. H. & Han, J., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 540-547 8 p. 8621485. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Genes
  • Knowledge Bases
  • Benchmarking
  • Biological Phenomena
  • Datasets

• Place deduplication with embeddings

  Yang, C., Mikolov, T., Hoang, D. H. & Han, J., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 3420-3426 7 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Pipelines

• Query-specific knowledge summarization with entity evolutionary networks

  Yang, C., Gan, L., Wang, Z., Shen, J., Xiao, J. & Han, J., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2121-2124 4 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Summarization
  • Query
  • Evolutionary
  • Computer Vision
  • Graphical Models

• Similarity modeling on heterogeneous networks via automatic path discovery

  Yang, C., Liu, M., He, F., Zhang, X., Peng, J. & Han, J., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Berlingerio, M., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Springer-Verlag Berlin Heidelberg, p. 37-54 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous Networks
  • Heterogeneous networks
  • Similarity
  • Reinforcement learning
  • Path

• Spherical text embedding

  Meng, Y., Huang, J., Wang, G., Zhang, C., Zhuang, H., Kaplan, L. & Han, J., 2019, In: Advances in Neural Information Processing Systems. 32

  Research output: Contribution to journal › Conference article › peer-review

• STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks

  Yao, S., Piao, A., Jiang, W., Zhao, Y., Shao, H., Liu, S., Liu, D., Li, J., Wang, T., Hu, S., Su, L., Han, J. & Abdelzaher, T., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 2192-2202 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Internet of things
  • Physics
  • Neural networks
  • Deep neural networks
  • Deep learning

• Task-guided pair embedding in heterogeneous network

  Park, C., Kim, D., Zhu, Q., Han, J. & Yu, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 489-498 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Node
  • Modeling
  • Classifier
  • Guidance
  • Experiment

• Weakly-supervised hierarchical text classification

  Meng, Y., Shen, J., Zhang, C. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 6826-6833 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep neural networks
  • Experiments
• 2020

  A Data-Driven Graph Generative Model for Temporal Interaction Networks

  Zhou, D., Zheng, L., Han, J. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 401-411 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discriminators
  • Social sciences
  • Anomaly detection
  • Sampling

• AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

  Dong, X. L., He, X., Kan, A., Li, X., Liang, Y., Ma, J., Xu, Y. E., Zhang, C., Zhao, T., Blanco Saldana, G., Deshpande, S., Michetti Manduca, A., Ren, J., Singh, S. P., Xiao, F., Chang, H. S., Karamanolakis, G., Mao, Y., Wang, Y., Faloutsos, C. & 2 others, McCallum, A. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2724-2734 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Anomaly detection
  • Taxonomies

• Automatic Textual Evidence Mining in COVID-19 Literature

  Wang, X., Liu, W., Chauhan, A., Guan, Y. & Han, J., Apr 27 2020, (In preparation) (arXiv:2004.12563).

  Research output: Working paper

  • Visualization

• Co-embedding network nodes and hierarchical labels with taxonomy based generative adversarial networks

  Yang, C., Zhang, J. & Han, J., Nov 2020, Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020. Plant, C., Wang, H., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 721-730 10 p. 9338301. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2020-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Taxonomies
  • Labels
  • Topology

• Collective Multi-type Entity Alignment between Knowledge Graphs

  Zhu, Q., Wei, H., Sisman, B., Zheng, D., Faloutsos, C., Dong, X. L. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2241-2252 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Deep learning
  • Agglomeration
  • Sampling
  • Neural networks
  • Experiments

• CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

  Huang, J., Xie, Y., Meng, Y., Zhang, Y. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1928-1936 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Taxonomies
  • Seed
  • Semantics
  • Knowledge representation

• CrossWeigh: Training named entity tagger from imperfect annotations

  Wang, Z., Shang, J., Liu, L., Lu, L., Liu, J. & Han, J., 2020, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 5154-5163 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels
  • Experiments

• Deep multiplex graph infomax: Attentive multiplex network embedding using global information

  Park, C., Han, J. & Yu, H., Jun 7 2020, In: Knowledge-Based Systems. 197, 105861.

  Research output: Contribution to journal › Article › peer-review

  • Discriminators
  • Graph
  • Labels
  • Node
  • Experiments

• Discriminative Topic Mining via Category-Name Guided Text Embedding

  Meng, Y., Huang, J., Wang, G., Wang, Z., Zhang, C., Zhang, Y. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2121-2132 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Experiments

• Efficient contextualized representation: Language model pruning for sequence labeling

  Liu, L., Ren, X., Shang, J., Gu, X., Peng, J. & Han, J., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 1215-1225 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labeling
  • Linguistics

• Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis

  Meng, Y., Huang, J. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3573-3574 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Text processing
  • Taxonomies
  • Data mining
  • Economics

• Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

  Wang, X., Song, X., Li, B., Zhou, K., Li, Q. & Han, J., Dec 16 2020, Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. Park, T., Cho, Y-R., Hu, X. T., Yoo, I., Woo, H. G., Wang, J., Facelli, J., Nam, S. & Kang, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 491-494 4 p. 9313126. (Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Named Entity Recognition
  • Coronavirus
  • Supervision
  • Glossaries
  • Datasets

• Generating Representative Headlines for News Stories

  Gu, X., Mao, Y., Han, J., Liu, J., Wu, Y., Yu, C., Finnie, D., Yu, H., Zhai, J. & Zukoski, N., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 1773-1784 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Labels
  • Redundancy

• Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion

  Huang, J., Xie, Y., Meng, Y., Shen, J., Zhang, Y. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 2188-2198 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Seed
  • Semantics
  • Taxonomies
  • Data mining
  • Set theory

• Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

  Yang, C., Xiao, Y., Zhang, Y., Sun, Y. & Han, J., 2020, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.

  Research output: Contribution to journal › Article › peer-review

  • Heterogeneous networks
  • Labels
  • Availability

• Hierarchical text classification with reinforced label assignment

  Mao, Y., Tian, J., Han, J. & Ren, X., 2020, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 445-455 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels
  • Reinforcement learning
  • Macros
  • Classifiers
  • Experiments

• Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

  Meng, Y., Zhang, Y., Huang, J., Zheng, Y., Zhang, C. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1908-1917 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• InF-VAE: A variational autoencoder framework to integrate homophily and influence in diffusion prediction

  Sankar, A., Zhang, X., Krishnan, A. & Han, J., Jan 20 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 510-518 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Seed
  • Network architecture
  • Chemical activation
  • Fusion reactions
  • Neural networks

• Joint Aspect-Sentiment Analysis with Minimal User Guidance

  Zhuang, H., Guo, F., Zhang, C., Liu, L. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1241-1250 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Sentiment analysis
  • Glossaries
  • Seed
  • Joining
  • Experiments

• Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform

  Blatti, C., Emad, A., Berry, M. J., Gatzke, L., Epstein, M., Lanier, D., Rizal, P., Ge, J., Liao, X., Sobh, O., Lambert, M., Post, C. S., Xiao, J., Groves, P., Epstein, A. T., Chen, X., Srinivasan, S., Lehnert, E., Kalari, K. R., Wang, L. & 8 others, Weinshilboum, R. M., Song, J. S., Jongeneel, C. V., Han, J., Ravaioli, U., Sobh, N., Bushell, C. B. & Sinha, S., 2020, In: PLoS biology. 18, 1, e3000583.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Genomics
  • engines
  • data analysis
  • Data Analysis
  • genomics

• Learning named entity tagger using domain-specific dictionary

  Shang, J., Liu, L., Gu, X., Ren, X., Ren, T. & Han, J., Jan 1 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 2054-2064 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Glossaries
  • Labels
  • Labeling
  • Experiments

• Minimally Supervised Categorization of Text with Metadata

  Zhang, Y., Meng, Y., Huang, J., Xu, F. F., Wang, X. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1231-1240 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Metadata
  • Labels
  • Semantics

• Mining text outliers in document directories

  Fouche, E., Meng, Y., Guo, F., Zhuang, H., Bohm, K. & Han, J., Nov 2020, Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020. Plant, C., Wang, H., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 152-161 10 p. 9338390. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2020-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels
  • Electronic mail
  • Semantics
  • Experiments

• MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks

  Yang, C., Pal, A., Zhai, A., Pancha, N., Han, J., Rosenberg, C. & Leskovec, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2434-2443 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Engines
  • Convolution
  • Graphics processing unit
  • Agglomeration
  • Pipelines

• Multiscale online media simulation with SocialCube

  Abdelzaher, T., Han, J., Hao, Y., Jing, A., Liu, D., Liu, S., Nguyen, H. H., Nicol, D. M., Shao, H., Wang, T., Yao, S., Zhang, Y., Malik, O., Dipple, S., Flamino, J., Buchanan, F., Cohen, S., Korniss, G. & Szymanski, B. K., Jun 1 2020, In: Computational and Mathematical Organization Theory. 26, 2, p. 145-174 30 p.

  Research output: Contribution to journal › Article › peer-review

  • Simulator
  • Simulators
  • Simulation
  • Abstraction
  • Object

• NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network

  Shang, J., Zhang, X., Liu, L., Li, S. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 1908-1919 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Taxonomies
  • Metadata
  • Data mining
  • Semantics
  • Experiments

• Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization

  Yang, C., Zhang, J., Wang, H., Li, B. & Han, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1629-1632 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Neural networks
  • Experiments

• Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

  Mao, Y., Zhao, T., Kan, A., Zhang, C., Dong, X. L., Faloutsos, C. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2247-2257 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Taxonomies
  • Labeling
  • Personnel

• Relation learning on social networks with multi-modal graph edge variational autoencoders

  Yang, C., Zhang, J., Wang, H., Li, S., Kim, M., Walker, M., Xiao, Y. & Han, J., Jan 20 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 699-707 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Semantics
  • Labels
  • Experiments

• Reliability-aware dynamic feature composition for name tagging

  Lin, Y., Liu, L., Ji, H., Yu, D. & Han, J., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 165-174 10 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tagging
  • Chemical analysis
  • Names
  • genre
  • Word Frequency

• TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

  Shen, J., Shen, Z., Xiong, C., Wang, C., Wang, K. & Han, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 486-497 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Taxonomies
  • Neural networks
  • Anchors
  • Search engines
  • Labels

• Unsupervised Differentiable Multi-aspect Network Embedding

  Park, C., Yang, C., Zhu, Q., Kim, D., Yu, H. & Han, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1435-1445 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Experiments

• User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription

  Shi, Y., He, X., Zhang, N., Yang, C. & Han, J., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 361-377 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transcription
  • Tensors
  • Clustering
  • Semantics
  • Interaction

• When do GNNs work: Understanding and improving neighborhood aggregation

  Xie, Y., Li, S., Yang, C., Wong, R. C. W. & Han, J., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 1303-1309 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Agglomeration
  • Neural networks
  • Experiments