Browse "AI-Conference Papers(학술대회논문)" by Author Shin, Kijung
Showing results 1 to 35 of 35
| AHP: Learning to Negative Sample for Hyperedge Prediction Hwang, Hyunjin; Lee, Seungwoo; Park, Chanyoung; Shin, Kijung, ACM SIGIR Conference on Research and Development in Information Retrieval, pp.2237 - 2242, ACM, 2022-07-11 |
| Are Edge Weights in Summary Graphs Useful? - A Comparative Study Kang, Shinhwan; Lee, Kyuhan; Shin, Kijung, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2022, pp.54 - 67, Springer Science and Business Media Deutschland GmbH, 2022-05 |
| Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes Kim, Hyunju; Ko, Jihoon; Bu, Fanchen; Shin, Kijung, 2023 World Wide Web Conference, WWW 2023, pp.317 - 327, Association for Computing Machinery, Inc, 2023-05-02 |
| Classification of Edge-dependent Labels of Nodes in Hypergraphs Choe, Min Young; Kim, Sunwoo; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.298 - 309, Association for Computing Machinery, 2023-08-09 |
| Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data Ko, Jihoon; Lee, Kyuhan; Hwang, Hyunjin; Shin, Kijung, 22nd IEEE International Conference on Data Mining Workshops, ICDMW 2022, pp.1063 - 1070, IEEE Computer Society, 2022-11 |
| Directed Network Embedding with Virtual Negative Edges Yoo, Hyunsik; Lee, Yeon-Chang; Shin, Kijung; Kim, Sang-Wook, 15th ACM International Conference on Web Search and Data Mining (WSDM), pp.1291 - 1299, ASSOC COMPUTING MACHINERY, 2022-02 |
| Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding Yoo, Hyunsik; Lee, Yeon-Chang; Shin, Kijung; Kim, Sang-Wook, 2023 World Wide Web Conference, WWW 2023, pp.231 - 239, Association for Computing Machinery, Inc, 2023-05-02 |
| Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization Shin, Kijung; Kang, U, IEEE International Conference on Data Mining (ICDM), IEEE Computer Society, 2014-12-16 |
| Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs Shin, Hyeonjeong; Kwon, Taehyung; Shah, Neil; Shin, Kijung, 15th ACM International Conference on Web Search and Data Mining (WSDM), pp.908 - 916, ASSOC COMPUTING MACHINERY, 2022-02 |
| HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams Lee, Geon; Choe, Minyoung; Shin, Kijung, 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, pp.2129 - 2137, International Joint Conferences on Artificial Intelligence, 2022-07 |
| How Transitive Are Real-World Group Interactions? - Measurement and Reproduction Kim, Sunwoo; Bu, Fanchen; Choe, Min Young; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.1132 - 1143, Association for Computing Machinery, 2023-08-08 |
| Incremental Lossless Graph Summarization Ko, Jihoon; Kook, Yunbum; Shin, Kijung, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.317 - 327, Association for Computing Machinery, 2020-08-24 |
| I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs Lee, Dongjin; Shin, Kijung, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp.8456 - 8464, Association for the Advancement of Artificial Intelligence (AAAI), 2023-02-09 |
| MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation Kim, Taeri; Lee, Yeon-Chang; Shin, Kijung; Kim, Sang-Wook, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.993 - 1002, Association for Computing Machinery, 2022-10-18 |
| Meta-Learning for Online Update of Recommender Systems Kim, MinSeok; Song, Hwanjun; Shin, Yooju; Park, Dongmin; Shin, Kijung; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.4065 - 4074, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
| MiDaS: Representative Sampling from Real-world Hypergraphs Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, 31st ACM World Wide Web Conference, WWW 2022, pp.1080 - 1092, Association for Computing Machinery, Inc, 2022-04-25 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.5144 - 5147, Association for Computing Machinery, 2022-10-19 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.5811 - 5812, Association for Computing Machinery, 2023-08-06 |
| NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors Kwon, Taehyung; Ko, Jihoon; Jung, Jinhong; Shin, Kijung, WWW '23: The ACM Web Conference 2023, pp.71 - 81, Association for Computing Machinery, Inc, 2023-05-02 |
| On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms Bu, Fanchen; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.117 - 129, Association for Computing Machinery, 2023-08-08 |
| On the Persistence of Higher-Order Interactions in Real-World Hypergraphs Choo, Hyunjin; Shin, Kijung, 2022 SIAM International Conference on Data Mining, SDM 2022, pp.163 - 171, Society for Industrial and Applied Mathematics Publications, 2022-04-28 |
| Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications Kang, Shinhwan; Lee, Kyuhan; Shin, Kijung, 38th IEEE International Conference on Data Engineering, ICDE 2022, pp.2319 - 2332, IEEE Computer Society, 2022-05 |
| PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation Kim, Minseok; Song, Hwanjun; Kim, Doyoung; Shin, Kijung; Lee, Jae-Gil, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.4164 - 4171, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02-04 |
| Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators Kim, Sunwoo; Choe, Min Young; Yoo, Jaemin; Shin, Kijung, The 22nd IEEE International Conference on Data Mining, ICDM 2022, pp.1005 - 1010, IEEE Computer Society, 2022-11-30 |
| Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition Cho, Junmo; Han, Seungjae; Cho, Eun-Seo; Shin, Kijung; Yoon, Young-Gyu, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.1938 - 1947, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| Robust Graph Clustering via Meta Weighting for Noisy Graphs Jo, Hyeonsoo; Bu, Fanchen; Shin, Kijung, 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, pp.1035 - 1044, Association for Computing Machinery, 2023-10-22 |
| Set2Box: Similarity Preserving Representation Learning for Sets Lee, Geon; Park, Chanyoung; Shin, Kijung, The 22nd IEEE International Conference on Data Mining, ICDM 2022, pp.1023 - 1028, IEEE Computer Society, 2022-11-29 |
| SLUGGER: Lossless Hierarchical Summarization of Massive Graphs Lee, Kyuhan; Ko, Jihoon; Shin, Kijung, 38th IEEE International Conference on Data Engineering, ICDE 2022, pp.472 - 484, IEEE Computer Society, 2022-05 |
| Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphs Lee, Dongjin; Lee, Juho; Shin, Kijung, The 38th Annual AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2024-02-22 |
| TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions Kwon, Taehyung; Ko, Jihoon; Jung, Jinhong; Shin, Kijung, 2023 IEEE International Conference on Data Mining (ICDM), IEEE, 2023-12-03 |
| THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting Lee, Geon; Shin, Kijung, 21st IEEE International Conference on Data Mining (IEEE ICDM), pp.310 - 319, IEEE Computer Society, 2021-12-08 |
| Towards Deep Attention in Graph Neural Networks: Problems and Remedies Lee, Soo Yong; Bu, Fanchen; Yoo, Jaemin; Shin, Kijung, 40th International Conference on Machine Learning, ICML 2023, pp.18733 - 18773, ML Research Press, 2023-07-26 |
| Tutorials at The Web Conference 2023 Fionda, Valeria; Hartig, Olaf; Abdolazimi, Reyhaneh; Amer-Yahia, Sihem; Chen, Hongzhi; Chen, Xiao; Cui, Peng; et al, WWW '23: The ACM Web Conference 2023, ACM, 2023-04-30 |
| VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation Kim, Taeri; Heo, Jiho; Kim, Hongil; Shin, Kijung; Kim, Sang-Wook, The 38th Annual AAAI Conference on Artificial Intelligence, pp.8600 - 8607, Association for the Advancement of Artificial Intelligence (AAAI), 2024-02-23 |
| You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark Lee, Soo Yong; Kim, Juwon; Ryu, Dong Kuk; Shim, Sangheun; Park, Kiwoong; Shin, Kijung, 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, pp.4033 - 4037, Association for Computing Machinery, 2023-10-22 |
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