the proceedings contain 150 papers. the topics discussed include: graph disentangle causal model: enhancing causal inference in networked observational data;CIMAGE: exploiting the conditional independence in masked gr...
ISBN:
(纸本)9798400713293
the proceedings contain 150 papers. the topics discussed include: graph disentangle causal model: enhancing causal inference in networked observational data;CIMAGE: exploiting the conditional independence in masked graph auto-encoders;a sublinear algorithm for approximate shortest paths in large networks;POLARIS: sampling from the multigraph configuration model with prescribed color assortativity;DiffGraph: heterogeneous graph diffusion model;mitigating overfitting in graph neural networks via feature and hyperplane perturbation;dynamic graph transformer with correlated spatial-temporal positional encoding;S-Diff: an anisotropic diffusion model for collaborative filtering in spectral domain;hyperdimensional representation learning for node classification and link prediction;prospective multi-graph cohesion for multivariate time series anomaly detection;and a contrastive framework with user, item and review alignment for recommendation.
the proceedings contain 168 papers. the topics discussed include: domain level interpretability: interpreting black-box model with domain-specific embedding;ranking with long-term constraints;LMBot: distilling graph k...
ISBN:
(纸本)9798400703713
the proceedings contain 168 papers. the topics discussed include: domain level interpretability: interpreting black-box model with domain-specific embedding;ranking with long-term constraints;LMBot: distilling graph knowledge into language model for graph-less deployment in twitter bot detection;to copy, or not to copy;that is a critical issue of the output Softmax layer in neural sequential recommenders;PEFA: parameter-free adapters for large-scale embedding-based retrieval models;empathetic response generation with relation-aware commonsense knowledge;professional network matters: connections empower person-job fit;towards mitigating dimensional collapse of representations in collaborative filtering;exploiting duality in open information extraction with predicate prompt;and guardian: guarding against gradient leakage with provable defense for federated learning.
the proceedings contain 183 papers. the topics discussed include: local edge dynamics and opinion polarization;never too late to learn: regularizing gender bias in coreference resolution;marginal-certainty-aware fair ...
ISBN:
(纸本)9781450394079
the proceedings contain 183 papers. the topics discussed include: local edge dynamics and opinion polarization;never too late to learn: regularizing gender bias in coreference resolution;marginal-certainty-aware fair ranking algorithm;beyond digital ‘echo chambers’: the role of viewpoint diversity in political discussion;mining user-aware multi-relations for fake news detection in large scale online social networks;mining user-aware multi-relations for fake news detection in large scale online social networks;self-supervised group graph collaborative filtering for group recommendation;towards universal cross-domain recommendation;a personalized neighborhood-based model for within-basket recommendation in grocery shopping;disentangled negative sampling for collaborative filtering;relation preference oriented high-order sampling for recommendation;and minimum entropy principle guided graph neural networks.
the proceedings contain 192 papers. the topics discussed include: knowledge is power: symbolic knowledge distillation, commonsense morality, & multimodal script knowledge;Wikipedia reader navigation: when syntheti...
ISBN:
(纸本)9781450391320
the proceedings contain 192 papers. the topics discussed include: knowledge is power: symbolic knowledge distillation, commonsense morality, & multimodal script knowledge;Wikipedia reader navigation: when synthetic data is enough;harvesting more answer spans from paragraph beyond annotation;sampling multiple nodes in large networks: beyond random walks;it’s on the tip of my tongue’: a new dataset for known-item retrieval;CAN: feature co-action network for click-through rate prediction;towards understanding and answering comparative questions;graph collaborative reasoning;a personalized cross-platform post style transfer method based on transformer and bi-attention mechanism;modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation;estimating causal effects of multi-aspect online reviews with multi-modal proxies;and an adaptive unified allocation framework for guaranteed display advertising.
the proceedings contain 155 papers. the topics discussed include: some thoughts on computational natural language in the 21st century;population-scale study of human needs during the COVID-19 pandemic: analysis and im...
ISBN:
(纸本)9781450382977
the proceedings contain 155 papers. the topics discussed include: some thoughts on computational natural language in the 21st century;population-scale study of human needs during the COVID-19 pandemic: analysis and implications;ad delivery algorithms: the hidden arbiters of political messaging;towards ordinal suicide ideation detection on social media;semi-supervised text classification via self-pretraining;modeling across-context attention for long-tail query classification in e-commerce;on the impact of predicate complexity in crowdsourced classification tasks;beyond point estimate: inferring ensemble prediction variation from neuron activation strength in recommender systems;popularity-opportunity bias in collaborative filtering;leave no user behind: towards improving the utility of recommender systems for non-mainstream users;and deconfounding with networked observational data in a dynamic environment.
the proceedings contain 6 papers. the topics discussed include: incorporating wide context information for deep knowledge tracing using attentional bi-interaction;collaboration patterns in students’ teams working on ...
the proceedings contain 6 papers. the topics discussed include: incorporating wide context information for deep knowledge tracing using attentional bi-interaction;collaboration patterns in students’ teams working on business cases;modeling student behavior in synchronous online learning during the COVID-19 pandemic;learning testing model using test generators and mobile applications;test students’ attention in class using a mobile application;and designing intelligent systems for online education: open challenges and future directions.
the proceedings contain 126 papers. the topics discussed include: extreme regression for dynamic search advertising;from missing data to Boltzmann distributions and time dynamics: the statistical physics of recommenda...
ISBN:
(纸本)9781450368223
the proceedings contain 126 papers. the topics discussed include: extreme regression for dynamic search advertising;from missing data to Boltzmann distributions and time dynamics: the statistical physics of recommendation;computer vision for fashion: from individual recommendations to world-wide trends;veridical data science;can deep learning only be neural networks?;recurrent attention walk for semi-supervised classification;outlier resistant unsupervised deep architectures for attributed network embedding;privacy-aware recommendation with private-attribute protection using adversarial learning;and LouvainNE: hierarchical Louvain method for high quality and scalable network embedding.
the proceedings contain 115 papers. the topics discussed include: fast dictionary-based compression for inverted indexes;joint optimization of cascade ranking models;WassRank: listwise document ranking using optimal t...
ISBN:
(纸本)9781450359405
the proceedings contain 115 papers. the topics discussed include: fast dictionary-based compression for inverted indexes;joint optimization of cascade ranking models;WassRank: listwise document ranking using optimal transport theory;integrating local context and global cohesiveness for open information extraction;knowledge graph enhanced community detection and characterization;representation interpretation with spatial encoding and multimodal analytics;interaction embeddings for prediction and explanation in knowledge graphs;knowledge graph embedding based question answering;relevance search over schema-rich knowledge graphs;a state transition model for mobile notifications via survival analysis;and clustered monotone transforms for rating factorization.
In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large volumes of textual da...
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ISBN:
(纸本)9798400713293
In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large volumes of textual data using clustering and generative models. We demonstrate how to adapt the Lasso weighted k-means algorithm to handle textual data. In addition, we present in detail a user-friendly package that shows how to use LLMs effectively to describe document classes.
Wildlife management is increasingly reliant on data-driven insights to address the impacts of climate change on species and ecosystems. However, the complexity of accessing and querying large, multimodal datasets ofte...
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ISBN:
(纸本)9798400713293
Wildlife management is increasingly reliant on data-driven insights to address the impacts of climate change on species and ecosystems. However, the complexity of accessing and querying large, multimodal datasets often limits the ability of non-technical users, such as wildlife managers and conservationists, to make informed decisions. To address this challenge, we present WildlifeLookup, a public accessible, intelligent chatbot designed to facilitate natural language interaction with a novel knowledge graph (KN-Wildlife) that houses critical wildlife and environmental data. WildlifeLookup simplifies access to species distributions, habitat interactions, and climate-related events by converting user queries into precise graph queries, reducing the technical barriers for end users. the chatbot WildlifeLookup is available at https://***/.
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