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KDD 2025 VIDEO PRESENTATIONS 1st CYCLE
Videos
1 — KDD 2025 - Multi-period Learning for Financial Time Series Forecasting
2 — KDD 2025 - MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System
3 — KDD 2025 - The k-Trine Cohesive Subgraph and Its Efficient Algorithms
4 — KDD 2025 - A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation
5 — KDD 2025 - On Measuring Unnoticeability of Graph Adversarial Attacks Observations
6 — KDD 2025 - Understanding the Effect of Loss Functions on the Generalization of Recommendations
7 — KDD 2025 - Reasoning-Enhanced Object-Centric Learning for Videos
8 — KDD 2025 - Bi-Dynamic Graph ODE for Opinion Evolution
9 — KDD 2025 - DIPS Optimal Dynamic Index for Poisson πps Sampling
10 — KDD 2025 - HeavyLocker Lock Heavy Hitters in Distributed Data Streams
11 — KDD 2025 - InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
12 — KDD 2025 - CLEAR Addressing Representation Contamination in Multimodal Healthcare Analytics
13 — KDD 2025 - TransPlace: Transferable Circuit Global Placement via Graph Neural Network
14 — KDD 2025 - MobileSteward: Integrating Multiple App-Oriented Agents
15 — KDD 2025 - Succinct Interaction-Aware Explanations
16 — KDD 2025 - GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation
17 — KDD 2025 - CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
18 — KDD 2025 - Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
19 — KDD 2025 - Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks
20 — KDD 2025 - Benchmarking Fraud Detectors on Private Graph Data
21 — KDD 2025 - Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk
22 — KDD 2025 - Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud
23 — DD 2025 - Fair Set Cover
24 — KDD 2025 - Benchmarking and Defending against Indirect Prompt Injection Attacks on LLM
25 — KDD 2025 - HRSTORY:Historical News Review Based Online Story Discovery
26 — KDD 2025 - Spectral Subspace Clustering for Attributed Graphs
27 — KDD 2025 - Seeing the Unseen Learning Basis Confounder Representations for Robust Traffic Prediction
28 — KDD 2025 - TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
29 — KDD 2025 - Off-Policy Evaluation and Learning for the Future under Non-Stationarity
30 — KDD 2025 - Quantum Time-index Models with Reservoir for Time Series Forecasting
31 — KDD 2025 - MM-Path: Multi-modal, Multi-granularity Path Representation Learning
32 — KDD 2025 - From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query
33 — KDD 2025 - Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
34 — KDD 2025 - A Structure-aware Invariant Learning Framework for Node-level Graph OOD Generalization
35 — KDD 2025 - Boosting Explainability through Selective Rationalization in Pre-trained Language Models
36 — KDD 2025 - Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management
37 — KDD 2025 - MLDGG: Meta-Learning for Domain Generalization on Graphs
38 — KDD 2025 - Covering Cracks in Content Moderation: Delexicalized Distant Supervision for Illicit Drug
39 — KDD 2025 - Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge
40 — KDD 2025 - Adapting to Generalized Online Label Shift by Invariant Representation Learning
41 — KDD 2025 - Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
42 — KDD 2025 - DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation
43 — KDD 2025 - Path Complex Neural Networks for Sequential Process Activities Classification
44 — KDD 2025 - Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
45 — KDD 2025 - Classifying Treatment Responders: Bounds and Algorithms
46 — KDD 2025 - Graph Learning with Distributional Edge Layouts
47 — KDD 2025 - Scalable Link Recommendation for Influence Maximization
48 — KDD 2025 - Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting
49 — KDD 2025 - PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism
50 — KDD 2025 - Annotation-guided Protein Design with Multi-Level Domain Alignment
51 — KDD 2025 - Semi-supervised Multi-view Clustering with Active Constraints
52 — KDD 2025 - D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
53 — KDD 2025 - Graph Triple Attention Networks: A Decoupled Perspective
54 — KDD 2025 - Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
55 — KDD 2025 - IDentity with Locality: An Ideal Hash for Gene Sequence Search
56 — KDD 2025 - Advancing Confidence Calibration and Quantification in Medication Recommendation
57 — KDD 2025 - Spatially Compact Dense Block Mining in Spatial Tensors
58 — KDD 2025 - Controlling Diversity at Inference: Guiding Diffusion Recommender Models
59 — KDD 2025 - ProgDiffusion: Progressively Self-encoding Diffusion Models
60 — KDD 2025 - APEX^2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
61 — KDD 2025 - CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions
62 — KDD 2025 - Personalized Language Model Learning on Text Data Without User Identifiers
63 — KDD 2025 - Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
64 — KDD 2025 -Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
65 — KDD 2025 - Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities
66 — KDD 2025 - Causal Discovery from Shifted Multiple Environments
67 — KDD 2025 - Learning Attribute as Explicit Relation for Sequential Recommendation
68 — KDD 2025 - Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World
69 — KDD 2025 - FABind+: Enhancing Molecular Docking through Improved Pocket Prediction
70 — KDD 2025 - MGS3: A Multi-Granularity Self-Supervised Code Search Framework
71 — KDD 2025 - Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
72 — KDD 2025 - Modeling Time-evolving Causality over Data Streams
73 — KDD 2025 - Towards Controllable Hybrid Fairness in Graph Neural Networks
74 — KDD 2025 - NodeImport: Imbalanced Node Classification with Node Importance Assessment
75 — KDD 2025 - GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask
76 — KDD 2025 - Dynamic Deep Clustering of High-Dimensional Directional Data
77 — KDD 2025 - Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
78 — KDD 2025 - PraFFL: A Preference-Aware Scheme in Fair Federated Learning
79 — KDD 2025 -Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-intensive Task
80 — KDD 2025 - Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation
81 — KDD 2025 - Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness
82 — KDD 2025 - UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
83 — KDD 2025 - Interpretable Prediction and Feature Selection for Survival Analysis
84 — KDD 2025 - Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
85 — KDD 2025 -Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models
86 — KDD 2025 - Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
87 — KDD 2025 - TSINR: Capturing Temporal Continuity via Implicit Neural Representations
88 — KDD 2025 - Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data
89 — KDD 2025 - ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series
90 — KDD 2025 - Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive
91 — KDD 2025 - Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
92 — KDD 2025 - SCode: A Spherical Code Metric Learning Approach to Continuously Monitoring
93 — KDD 2025 - RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
94 — KDD 2025 - IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
95 — KDD 2025 - Exploring Feature-based Knowledge Distillation for Recommender System
96 — KDD 2025 - Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
97 — KDD 2025 - On the Necessity of World Knowledge for Mitigating Missing Labels
98 — KDD 2025 - ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU
99 — KDD 2025 - Variational Graph Autoencoder for Heterogeneous Information Networks
100 — KDD 2025 - Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data
