Hao Peng

18

Papers

169

Total Citations

Papers (18)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

M&M VTO: Multi-Garment Virtual Try-On and Editing

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Prompt-based Unifying Inference Attack on Graph Neural Networks

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Structural Entropy Guided Probabilistic Coding

Data Engineering for Scaling Language Models to 128K Context

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Adversarial Socialbots Modeling Based on Structural Information Principles

AMD: Autoregressive Motion Diffusion

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

Executable Code Actions Elicit Better LLM Agents

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning