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- extended-abstractAugust 2024
Generative AI Day
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6699–6700https://doi.org/10.1145/3637528.3673872The Generative AI (AIGC) Day at KDD'24 is a dedicated full-day event for generative AI at KDD. This is an opportunity to bring together researchers, practitioners, and startups to share the insights about the cutting-edge advancements and to discuss the ...
- extended-abstractAugust 2024
Overview of ACM SIGKDD 2024 AI4Science4AI Special Day
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6693–6694https://doi.org/10.1145/3637528.3673871This paper provides an overview of the ACM SIGKDD 2024 AI4Science4AI special day. It includes information about the organizers, invited speakers, keynote speakers, the event agenda, and insights from related workshops. The AI4Science4AI special day aims ...
- extended-abstractAugust 2024
Equity, Diversity & Inclusion (EDI): Special Day at ACM KDD 2024
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6689–6690https://doi.org/10.1145/3637528.3673870The Equity, Diversity & Inclusion event is a special day organized in conjunction with KDD '24, the 30 ^th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, which will take place from Sunday, August 25 to Thursday, August 29, 2024 at the ...
- extended-abstractAugust 2024
KDD 2024 Special Day - AI for Environment
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6695–6696https://doi.org/10.1145/3637528.3673869Environmental problems such as air pollution monitoring and prevention, flood detection and prevention, land use, forest management, river water quality, wastewater treatment supervision, etc. are more complex than typical real-world problems usually AI ...
- extended-abstractAugust 2024
European Data Science Day: KDD-2024 Special Day
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6697–6698https://doi.org/10.1145/3637528.3673868The European Data Science Day offers a full day focused exclusively on innovative KDD-relevant research and development projects from national and regional funding programs, as well as corporate, start-up, and nonprofit channels. The idea is to bring ...
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- extended-abstractAugust 2024
Responsible AI Day
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPage 6688https://doi.org/10.1145/3637528.3673867We summarize the goals of the Responsible AI day, giving a glimpse on the program as well as a short biography of the organizers.
- extended-abstractAugust 2024
Health Day: Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6691–6692https://doi.org/10.1145/3637528.3673866The ACM KDD 2024 Health Day theme, "Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery," highlights the transformative potential of AI-driven ecosystems in healthcare, translational biomedical research, and basic biological ...
- invited-talkAugust 2024
Generative AI in E-Commerce: What Can We Expect?
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4739–4740https://doi.org/10.1145/3637528.3672503The impact of generative AI on e-commerce is profound. It has significantly improved the understanding of user intent and serves as a comprehensive product knowledge graph. However, the most substantial disruptions are yet to come, partic- ularly through ...
- invited-talkAugust 2024
Scalable Graph Learning for your Enterprise
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4737–4738https://doi.org/10.1145/3637528.3672501Much of the world's most valued data is stored in relational databases and data warehouses, where the data is organized into many tables connected by primary-foreign key relations. However, building machine learning models using this data is both ...
- invited-talkAugust 2024
Next-generation Intelligent Assistants for Wearable Devices
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPage 4735https://doi.org/10.1145/3637528.3672500An intelligent assistant shall be an agent that knows you and the world, can receive your requests or predict your needs, and provide you the right services at the right time with your permission. As smart devices such as Amazon Alexa, Google Home, Ray-...
- invited-talkAugust 2024
Machine Learning for Clinical Management: From the Lab to the Hospital
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPage 4736https://doi.org/10.1145/3637528.3672497Population aging, increasing social demands, and rising costs of treatments are stressing healthcare systems to the point of risking the sustainability of universal and accessible healthcare.
A hope in this dismal panorama is that there are large ...
- research-articleAugust 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
- Fanjin Zhang,
- Shijie Shi,
- Yifan Zhu,
- Bo Chen,
- Yukuo Cen,
- Jifan Yu,
- Yelin Chen,
- Lulu Wang,
- Qingfei Zhao,
- Yuqing Cheng,
- Tianyi Han,
- Yuwei An,
- Dan Zhang,
- Weng Lam Tam,
- Kun Cao,
- Yunhe Pang,
- Xinyu Guan,
- Huihui Yuan,
- Jian Song,
- Xiaoyan Li,
- Yuxiao Dong,
- Jie Tang
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6214–6225https://doi.org/10.1145/3637528.3672354With the rapid proliferation of scientific literature, versatile academic knowledge services increasingly rely on comprehensive academic graph mining. Despite the availability of public academic graphs, benchmarks, and datasets, these resources often ...
- research-articleAugust 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6368–6379https://doi.org/10.1145/3637528.3672353Marketing optimization plays an important role to enhance user engagement in online Internet platforms. Existing studies usually formulate this problem as a budget allocation problem and solve it by utilizing two fully decoupled stages, i.e., machine ...
- keynoteAugust 2024
AI for Nature: From Science to Impact
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPage 2https://doi.org/10.1145/3637528.3672192Computation has fundamentally changed the way we study nature. New data collection technologies, such as GPS, high-definition cameras, autonomous vehicles under water, on the ground, and in the air, genotyping, acoustic sensors, and crowdsourcing, are ...
- research-articleAugust 2024
Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4398–4407https://doi.org/10.1145/3637528.3672086Maritime traffic management increasingly relies on vessel position information provided by terrestrial and satellite networks of the Automatic Identification System (AIS). Unfortunately, the problem of missing AIS data can lead to long-term gaps in ...
- research-articleAugust 2024
Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 920–931https://doi.org/10.1145/3637528.3672070Benefiting from the effective exploitation of the high-order correlations across multiple views, tensor-based multi-view clustering (TMVC) has garnered considerable attention in recent years. Nevertheless, prior TMVC techniques commonly involve ...
- research-articleAugust 2024
EcoVal: An Efficient Data Valuation Framework for Machine Learning
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 2866–2875https://doi.org/10.1145/3637528.3672068Quantifying the value of data within a machine learning workflow can play a pivotal role in making more strategic decisions in machine learning initiatives. The existing Shapley value based frameworks for data valuation in machine learning are ...
- research-articleAugust 2024
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 83–94https://doi.org/10.1145/3637528.3672067Information extraction (IE) aims to extract meaningful structured tuples from unstructured text. Existing studies usually utilize a pre-trained generative language model that rephrases the original sentence into a target sequence, which can be easily ...
- research-articleAugust 2024
A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 2479–2490https://doi.org/10.1145/3637528.3672066Pseudo-cliques (subgraphs with almost all possible edges) have many applications. But they do not satisfy the convertible antimonotone constraint (as we prove here). So, it is hard to reduce the search space of pseudo-cliques and list them efficiently. ...
- research-articleAugust 2024
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 199–210https://doi.org/10.1145/3637528.3672065Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to enhance the quality of long-form question-answering (LFQA). Despite the emergence of various open source methods ...